Programme (Download PDF)

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14:00 – 15:20

TUTORIAL:
Influence of design, production technology, operation, condition change factors on vibration signal generated by gearboxes
Prof W Bartelmus, Wroclaw University of Technology

WORKSHOP:
Introduction to thermography for asset management
Mr C Pearson, BSRIA / UKTA

WORLD LEADING SESSION:
Open Session
organised by Airbus UK

15:20
– 16:40

WORKSHOP:
Risk based decision making (RBDM) in integrated asset management: From development of asset management frameworks to development of asset risk management plans
Dr R Stapelberg, CIEAM

WORKSHOP:
Global perspectives on Intelligent Maintenance and EAM Global perspectives on Intelligent Maintenance and EAM
Prof J Lee

WORKSHOP:
Implementing a condition based maintenance strategy to an industrial environment
Mr N Walker, UKTA

WORKSHOP:What every CEO should know! Standards, certification and benefits
Dr S Roe, The British Institute of NDT

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08:50

Plenary Keynote Lecture:  What is engineering asset management?
Prof J Amadi-Echendu, Prof R Willett, Prof K Brown, Prof J Lee, Prof J Mathew, Prof N Vyas, Prof B Yang

Plenary Invited Distinguished Lecture: Nanostructured smart materials for engineering asset evaluation and condition monitoring
Dr M Schulz, Dr Shanov, Dr Yun
The University of Cincinnati

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Strategic engineering asset management: activities in the European research network 'EURENSEAM'
CHAIRS: Jayantha Liyanage, CIAM / UIS
Dr K Komonen, VTT Technical Research Centre

Trained structured and statistical methods in condition monitoring
CHAIRS:
Prof L Kuravsk, Dr S Baranovy
Russian Aviation Co.

Gears-diagnostics, decision making and signal processing
CHAIR: Prof S Radkowski, Warsaw University of Technology

Developments of advanced pattern recognition techniques for robust diagnostics
CHAIR: Dr S King, Rolls-Royce

The role of SHM and NDT in improved asset management
CHAIR: Prof P Cawley, Imperial College

Analytical tools for material evaluation
CHAIR: Dr K Donne, Swansea Institute

09:55

European research network for strategic engineering asset management
K Komonen, VTT Technical Research Centre

Wavelet transforms and relaxation neural networks as promising technology components of technical and medical diagnostics and modelling
L Kuravsky, S Baranov, Russian Aviation Co

Nonlinearity and intermodulation phenomena tracking as a method for detecting early stages of gear failures
S Radkowski, Warsaw University of Technology

Advanced engine monitoring systems
S King, Rolls Royce

The contribution of NDT and SHM in improved asset management
P Cawley, Imperial College

Experiences in implementing risk-based inspection
C Ablitt, I Partridge, TWI

10:20

Changing behaviour for effective asset management.
J Huisma¹, Y Wijnia^{2 1}Tennet
²Delft University of technology

Statement networks in expert systems for condition monitoring
W Cholewa, Silesian University of Technology

Decomposition of symptom observation matrix and its optimisation in vibration condition monitoring of machines
C Cempel, R Barczewski, Poznan University of Technology

Specific and generic modelling for gas turbine novelty detection
D Clifton¹, B Haskins² P Bannister¹, L Tarassenko
¹University Of Oxford ²Oxford BioSignals Ltd

No indications detected
T Dunhill, Rolls Royce

Radiative and transient thermal transport modelling using the boundary element method
K Donne, A Marotin Swansea Institute

10:40

Determination of critical, corporate level success factors based on physical assets
T Koppinen, VTT Technical Research Centre

Statistical analysis of vibration signal in water hydraulic motor based on wavelet packet multi-decomposition
H Chen, S Chua, G Lim, Nanyang Technological University

De-convolution of time-series data using translational symmetry and Eigenstate analysis
C Moodie¹, A Tieu¹, S Biddle^2
1University of Wollongong
²Bluescope Steel

FUMS Asset management techniques
H Azzam, I Grainger, P Knight, R Ellison Smiths Aerospace

Requirements of second and third generation inspection management systems in the oil and gas industry
S Terpstra, P van de Camp, F Hoeve, Shell Global Solutions

Modelling of time reversal focusing in straight pipes
C Ennaceur, T Gan, R Sanderson, P Mudge, B Bridge, TWI

11:00

Corporate dynamics vs industrial asset performance: The sustainability challenge
R Chandima Ratnayake, J Liyanage
University of Stavanger

On the approach to identifying quantitative trait loci in behaviour genetics
L Kuravsky, P Kornienko, Moscow State University of Psychology and Education

Use of reduction of dimensionality in evaluation of fatigue related failures in a power unit of a suburban train
M Jasinkski, S Radkowski, Warsaw University of Technology

Agent-based technology for data management, diagnostics and learning within condition monitoring applications
S Rudd, V Catterson, S McArthur, Strathclyde University

Inspection and condition monitoring strategies for Magnox power stations
A Wooldridge, Magnox Electric

Non-destructive evaluation of fracture in automotive windscreens
K Donne¹, G Calvert², R Thomas¹, C Davies^{3 1}Swansea Institute
²VisEng Ltd, ³Belron Technical Ltd

11:20

Migration towards integrated work processes to realize integrated eOperation (IO) for high-risk assets
Y Bai, J Liyanage, University of Stavanger

Application of neural network for prediction of slip free temperature offsets in semiconductor epitaxial process
X Li¹, M Luo¹, X Yang², Z Zhong^{2 1}Singapore Institute of Manufacturing ²Nanyang Institute of Technology

Application of neural networks for detection of gearbox faults
B Lazarz, P Czech, Silesian University of
Technology

Learning jet engine vibration response for novelty detection
P Bannister, L Tarassenko, University of Oxford

Structural health monitoring for engineering asset management in aeronautics
C Paget, Airbus UK

Designing and implementing a tool for measuring the maturity of preventative maintenance process management within an international steel company
D Williams, J MacLachlan, Corus Group Ltd

11:40

The human factor in asset management process development
Y Wijnia, Delft University of Technology

Forecasting fatigue failures of aircraft structures with the aid of trained multifactor Markov networks
S Baranov, Russian Aviation Co.

Use of information embedded in vibroacoustic signal to crack evolution tracking of gear failure
S Gontarz, J Dybala, S Radkowski, Warsaw University of Technology

Towards prognosis of gas turbine accessory faults using high frequency analysis techniques
A Mills, Rolls-Royce

Temperature sensitivity limitations for guided wave structural health monitoring
A Croxford, P Wilcox, B Drinkwater, University of Bristol

The use of the standard deviation in the removal of noise from ultrasonic B-Scans
I Wells¹, P Charlton², S Mosey^2
1Swansea Institute, ²Inspection Solutions Ltd

12:00

Establishing and running a condition based maintenance policy: applied example for vibration based maintenance
B Al-Najjar, Vaxjo University

Neural networks: experience of deployment by the StatSoft Russia Company
V Borovikov, V Rastunkov, StatSoft

Application of the local plane concept in control diagnostics of gears
A Galezia, J Maczak, Warsaw University of Technology

Diagnostics and prognostics of disturbances and faults in air fans
J Miettinen¹, V Järvinen², P Salmenpera³, Tampere ¹University of Technology, ²Gardner Denver Oy

Probing the real behaviour of reinforced concrete cantilevered slabs by tracking resonant frequency changes when subjected to gradual structural deterioration
S Tsang, L Chu, Hong Kong Polytechnic University

Integrated multiple-sensor methodology for condition assessment of water mains
M Fahmy, O Moselhi, Concordia University

13:20

Plenary Keynote Lecture: Miniaturised computational imaging system design for super resolution, large field-of-view and extended depth-of-field with applications to surveillance, medical imaging and condition-based-maintenance
HRB Systems Prof N Bose, Pennsylvania State University

Plenary Invited Distinguished Lecture: Predictable behaviour-achieving enhanced reliability
Mr Anuzis, Rolls Royce plc

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Engineering asset management

The theories, methods and applications on fault feature extraction
CHAIR: Prof J Lin

Session 1C Continued

Engineering asset management

Condition monitoring applications

Monitoring of complex systems and structures
CHAIR: Prof A Chattopadhyay, Arizona State University

14:05

Integration through standards – an overview of international standards relevant to the integration of engineering asset management
A Koronios, D Natasie, V Chanana, A Haider, CIEAM

Picking-up character of track long-wave irregularity of maglev railway based on time-frequency analysis
L Jianhui, Southwest Jiao Tong University

Reduction of the vibration energy in gearboxes
B Lazarz, A Wilk, H Madej, G Wojnar, Silesian University of Technology

The path to asset performance management
C Hotblack, Ivensys

Mechanical integrity for pressure swing adsorbers
J Lilley¹, J Sims² C Becht^2
1Veritec
²Becht Engineering Inc.

Damage diagnosis using kernel based method
A Chattopadhyay, C Coelho, S Das, Arizona State University

14:30

Improving the cost-effectiveness of a maintenance programme
T Ahonen, Helena Kortelainen, S Kunttu, M Reunanen, VTT Technical Research Centre of Finland

Detecting character of track long-wave irregularity of maglev railway based on strap-down inertial system
Z Yanchen, Southwest Jiao Tong University

The fusion of multi-level wavelet decomposition for induction motor fault diagnosis using transient current signal
G Niu, A Widodo, J Son, B Yang, Pukyong National University

Study and analysis of risks at railway level crossings
G Chattopadhyay¹, M Soenarjo², J Powell³, V Reddy^2
1Central Queensland University, ²Queensland University of Technology, ³Queensland Rail

The application of condition monitoring in Royal Mail
M Jenkinson, Royal Mail

TERA- a tool for aero-engine modelling and management
S Ogaji, P Pilidis, R Hales, Cranfield University

14:50

New method for proactive maintenance of paper machine rolls
J Juhanko, K Petri, Helsinki University of Technology

The sensor fault-detection technology study of tilting train based on variance-calculating methods
G Yan, Chengdu Electromechanical College

Measurement and signal processing methods employed for testing car and truck gearboxes
J Tuma, VSB – Technical University of Ostrava

Multidimensional schemas for engineering asset management
A Mathew, L Ma, CIEAM

An overview of the predictive maintenance applications of airborne ultrasound testing
J Buckley, Sonatest

Detection of breathing cracks in a beam using dynamic response: Proposition of a technique using the finite element method based on the mixed variational principle
K Kamiya, T Yoshinga, K Yasuda, Nagoya University

15:10

Cost effective monitoring solution using external surveillance centre
M Hastings, S Gutt, C Andersson, Brüel & Kjær Vibro

Study on acceleration sensor’s fault-tolerance technology of tilting train
L Jianhu, Southwest Jiao Tong University

Asset management excellence
N Gregory, Meridian Energy Ltd

A distributed processing service orientated architecture for data intensive condition monitoring and diagnostics applications
M Jessop, M Fletcher, J Austin, University of York

An overview of gas turbine performance diagnostics
Y Li, Cranfield University

15:30

Why technological determinism, why not socio-technical alignment for IS based asset management?
A Koronios, A Haider, CIEAM

Test and evaluation of the dynamic performance for the power measured train
L Lu, Southwest Jiao Tong University

Blended learning for maintenance personnel
M Barratt, SKF

Real time simulations for supporting condition monitoring systems for multimegawatt drives
N Vijayakumar, P Burgwinkel, A Messner, C Steinhusen, J Lachmann, RWTH Aachen University

In situ balancing of dryer groups in a paper machine
E Porkka, J Juhanko, Helsinki University of Technology

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Engineering asset management

Vibration monitoring techniques

Engineering asset management

Prognostics

Advanced condition monitoring techniques
CHAIR: Prof S Lahdelma, University of Oulu

16:05

End-of-lifecycle asset management in the pharmaceutical industry
P Anderson, FIKM

The vibration analyst checklist – do you pass?
D Whittle, RMS Reliability

Modelling total cost of ownership of rail infrastructure for outsourcing services
G Chattopadhyay¹, A Rahman²,
¹Central Queensland University, ²Griffith University

Prediction of bearing wear in brushless DC motor using wavelet based correlation modelling
J Zhou¹, M Luo¹, Q Shao², Z Zhong^2
1Singapore Institute of Manufacturing Technology
²Nanyang Technological University

Advanced signal processing and fault diagnosis in condition monitoring
S Lahdelma, E Juuso, University of Oulu

16:30

Asset management processes: Modelling, evaluation and integration
Y Sun, L Ma, J Mathew, CIEAM

Bearing fault diagnosis using automaton through quanitization of vibration signals
Y Choi, Sungkyunkwan University

Performance evaluation of IS based water infrastructure asset management
A Koronios, A Haider, University of South Australia

Emerging sensors in aerospace structural diagnostics and prognostics
A Ghoshal¹, H Kim², ¹United Technologies Research Centre, ²Inha University

Feature extraction for vibration analysis of cavitation in kaplan water turbines
E Juuso, S Lahdelma, P Vähäoja, University of Oulu

16:50

Spare part stock asset management by stochastic simulation
P Hagmark, H Pernu, Tampere University of Technology

Gearbox monitoring and diagnosis
A El-Shafei, RITEC

Garbage in, garbage out: operator intention as an antecedent of engineering asset data quality
G Murphy, CIEAM

Grid quality of service provision in BROADEN
M Haji, K Djemame, University of Leeds

Advanced condition monitoring for lime kilns
E Juuso, S Lahdelma, University of Oulu

17:10

Critical success factors for the implementation of business intelligence systems: A case study in rail corporation
W Yeoh, J Gao, A Koronios, University of South Australia

The vibrodiagnostics of grinding processes
T Malysheva, A Zakhezin, South-Ural State University

Analysis of cycle time variation for process optimisation in animal feed block plant
G Chattopadhyay, A Desai, Central Queensland University

Data mining techniques and singular spectrum analysis for tool condition monitoring in metal cutting
P Dehombreux, B Kilundu
Faculté Polytechnique de Mons

A practical approach to choose best oil for mineral machine (Libher damtrack) by oil condition monitoring
H Ahmadi, Tehran University

08:45

Plenary Keynote Lecture: Optimizing performance, reliability and maintenance through structural health monitoring
Prof FK Chang¹, Dr M Miller¹, Dr Beard², Dr Liu^2
1Stanford University, ²Accent Technologies

Plenary Invited Distinguished Lecture: Optical speckle shearography for quantitative surface strain measurement
Prof R Tatam, Cranfield University

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New technology applications in physical asset management
CHAIR: Prof J Amadi-Echendu, University of Pretoria

Root cause analysis in gearbox condition monitoring
CHAIR: Prof W Bartelmus, Wroclaw University of Technology

Information and communication technology (ICT) for maintenance
CHAIR: Prof M Garetti, Politecnico di Milano, Italy

Emerging nano, bio, and info technologies for structural health monitoring
CHAIR: Dr M Schulz, The University of Cincinnati

Experimental and simulation models for monitoring and diagnostics
CHAIR: Prof A Lucifredi, The University of Genoa

The theories, methods and applications on fault feature extraction
CHAIR: Prof J Chen, Shanghai Jiao Tong University

09:25

The use of digital protection relays in a petrochemical complex
A Kleynhans, J Amadi-Echendu, University of Pretoria

Root cause and vibration signal analysis for gearbox condition monitoring
W Bartelmus, Wroclaw University of Technology

Perspectives in maintenance management of the new ICT advances
M Garetti, Politecnico di Milano, Italy

A structural neural system with multi-state sensors for integrated systems health management
M Schulz, G Kirikera, Y Yeo-Heung, V Shanov, S Mullapudi, G Maheshwari, R Allemang, The University of Cincinnati

Experimental and virtual models for monitoring and diagnostics
A Lucifredi, P Silvestri, The University of Genoa

Cyclostationary analysis based fault feature extracting of rolling element bearing
J Chen, Shanghai Jiao Tong University

09:50

Failure modes of conveyor belts deployed in mining applications
D Schoeman, J Amadi-Echendu, University of Pretoria

Condition monitoring using a fault simulator and a simple failure mechanism subjected to a random stress profile
D Lin¹, A Jardine¹, M Wiseman^2
1University of Toronto
²OMDEC Inc.

New technologies for prognostics
E Jantunen, VTT Technical Research Centre

A spray-on carbon nanotube artificial neuron for structural health monitoring
Inpil Kang¹, Jong Won Lee^2
1Pukyung National University, ²Korea Institute of Machinery and Materials

Design of a test rig aimed to simulate the behaviour of large rotating machines
N Bachschmid, P Pennacchi, A Vania, Politecnico di Milano

Study on second generation wavelet finite element and quantitative identification of rotor cracks
C Xufei, Xi'an Jiatong University

10:10

SMART instrumentation adoption in conventional process plants
E Grobbelaar, J Amadi-Echendu, University of Pretoria

Application of spectral correlation techniques on mining machine signals: Identification of faulty components
W Bartelmus¹, R Boustany¹ R Zimroz¹, J Antoni^2
1Wroclaw University of Technology, ²Université de Technologie de Compiègne

TELMA: A full e-maintenance platform
E Levrat, B Iung
Nancy Université

A systematic approach for developing and deploying advanced prognostics technologies and tools: methodology and applications
J Lee, The University of Cincinnati

Experimental model of a semi-actively controlled rotor
C Carmignani, P Forte, P Badalassi, University of Pisa

A high speed on-line evaluation system for operating performance of turbine compressor sets based on thermodynamic parameter diagnosis
W Xiaofang, Dalian University of Technology

10:30

A reliability improvement and management programme
J Visser, B van Zyl
The University of Pretoria

Application of spectral correlation techniques on mining machine signals: Extraction of fault signatures
W Bartelmus¹, R Boustany¹ R Zimroz¹, J Antoni^2
1Wroclaw University of Technology, ²Université de Technologie de Compiègne

The Socrades European project (service-orientated cross-layer infRAstructure for distributed smart embedded devices)
A Colombo¹, M Taisch^2
1Schneider Electric,  ²Politecnico di Milano, Italy

High-frequency self-powered Surface wave transducers for structural health monitoring applications
G Kirikera, L Sun, S Krishnaswamy, J Achenbach, Northwestern University

Design of a test bench for the vibro-acoustical analysis and diagnostics of rotating machines
G Dalpiaz, G D Elia, S Delvecchio, Università degli Studi di Ferrara

Demodulation of frequency-modulated gearbox vibration signals using cyclostationary analysis
L Weihua, South China University of Technology

10:50

Modelling risk in discrete multi-state repairable systems
M Lipsett, R Gallardo, M Zuo, University of Alberta

Numerical simulation of planetary gear failure detection by Wigner-Ville method
F Chaari, T Fakhfakh, M Haddar, National School of Engineers of Sfax

Process IT innovation in maintenance management to boost the competitiveness of European Process Industries
A Johansson,  Process IT Innovations

Remote acoustic monitoring of thin laminates
E Mfoumou, S Kao-Walter, C Hedberg, Blekinge Institute of Technology

Experimental rotor kit additions and virtual rotor kit
A Lucifredi P Silvestri, University of Genova

New method to continuously measure wheel/rail contact point on-rail
C Jianzheng, Southwest Jiao Tong University

11:10

Cyclostationary analysis as a tool for the detection of incipient faults in helicopter gearboxes
E Estupinan, P White, University of Southampton

Interpretation and Modelling of Corrosion Rate Measurements on Reinforced Concrete Structures
D W Law¹ , F Blin², K Wilson²,
¹RMIT University ²Maunsell Australia

Model based diagnosis technique for the cogeneration system
T Kawai, Y Kamada, Osaka City University

Development and application of bearing fault diagnostic techniques in railway locomotive and rolling stock
D Fuyan, China Academy of Railway Sciences

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DYNAMITE, Dynamic decisions in maintenance
CHAIR: Dr A Starr, The University of Manchester

Sensing technologies for early damage detection and condition assessment
CHAIR: Dr S Sathish, Airforce Research Laboratory

Condition based monitoring – friend or foe
CHAIR: Dr T Lago, Acticut International AB

Utility inspection, remote and wireless condition monitoring
CHAIR: Dr P Tse, City University of Hong Kong

Condition monitoring of local damage
CHAIR: Prof L Gelman, Cranfield University

The theories, methods and applications on fault feature extraction
CHAIR: Prof X Wang

11:55

Wear debris analysis automation (WDAA): Past, present and future
M Khan, A Starr
University of Manchester

Nonlinear acoustics and thermo-elastic NDE measurements for fatigue damage evaluation
S Sathish¹, K Jata^2
1Air Force Research Laboratory, ²University of Dayton Research Institute

Condition based monitoring – friend or foe
T Lago, Acticut International AB

Development of a low-cost wireless signal acquisition system that is suitable for machine condition monitoring
P Tse, J Chan, City University of Hong Kong,

Novel time-frequency analysis for condition monitoring
L Gelman, Cranfield University

Machinery fault diagnosis based on chaotic oscillator and approximate entropy
W Taiyong, Tianjin University

12:20

Towards the implementation of integrated multimeasure and wireless monitoring system
A Albarbar, A Starr, R Pietruszkiewicz, The University of Manchester

Diagnostics for the quality test of small rotors using the SQ metric values of radiated sound
W Cho¹, J Ih¹, S Shin¹,Y Kwon^2
1Korea Advanced Institute of Science and Technology, ²Daewoo Precision Ind Co Ltd

Feature extraction and classification approaches in condition based monitoring
M Nilsson, J Nordberg, L Håkansson, I Claesson, Blekinge Institute of Technology

A feasibility study on self-sustainable wireless sensors by using energy harvesters
C Lam, P Tse, City University of Hong Kong

An automated methodology for performing time synchronous averaging of a gear signal without speed sensor
F Combet, L Gelman
Cranfield University

Condtion monitoring and fault diagnosis based on second generation wavelet transform
H Zhengjia, Xi'an Jiaotong University

12:40

DYNAWEB. A web platform for flexible provision of E-maintenance services
A Arnaiz¹, B Iung², E Jantunen³, E Levrat², E Gilabert^1
1Fundación Tekniker
²Nancy University
³VTT Technical Research Centre

Measurements of impact induced waves using double pulse digital holography and photoelastic coating method
O Focke¹, J Müller¹, J Geldmacher¹, W Jüptner¹, C König², M Calomfirescu^3
1Bremen Institute of Applied Beam Technologie
²bBIK - Bremer Institut für Konstruktionstechnik ³cFIBRE - Faserinstitut Bremen

Acoustic and acoustic emission based condition monitoring of production processes
P Potocnik, E Govekar, I Grabec, University of Ljubljana

Investigation of corrosion inspection in pipeline using the longitudinal mode of cylindrical guided waves
X Wang, P Tse, City University of Hong Kong

In-service fatigue prediction in turbo machinery
L Gelman, T Noble, W-X Yang, Cranfield University

Fault diagnosis methods based on adaptive redundant second generation wavelet
Z Yanyang, Xi,an Jiatong University

14:15

Plenary Invited Distinguished Lecture: Challenges facing the world of condition monitoring
Prof A Ball, The University of Manchester

Plenary Keynote Lecture: Analytical modelling in engineering asset testing and evaluation: do we need it anymore?
Prof L Fradkin, London South Bank University

15:00

Decision support algorithm for predictive maintenance of a heavy construction equipment
H Jun¹, D Kiritsis¹, P Xirouchakis¹, C Corcelle^2
1EPFL ²CATERPILLAR

Traditional and emerging technologies for non-destructive assessment of the incipient structural damage
A Zagrai, New Mexico Institute of Mining and Technology

Quality control of automotive gearboxes
T Zmijevski, S Gerges, F Vasconcelos, Federal University of Santa Catarina

Design and performance of neural network schemes for diagnosis of rotating machinery faults
N Vyas, Indian Institute of Technology (Kanpur)

Design, manufacture and build of smooth running large rotor fans
D King, M Harrison, Rolls-Royce

Fractural damage analysis and optimised improvement for last stage moving blades in ECST
X Rong, Dalian University of  Technology

15:20

Applications of RFID technology in maintenance systems
A Adgar, D Addison
C Yau, University of Sunderland

Vibration condition monitoring techniques for fault diagnosis of electromotors
H Ahmadi, University of Tehran

Vibration in turning and the active control of tool vibration
H Akesson¹, T Smirnova¹, I Claesson¹, L Harkansson¹, T Lago², ¹Blekinge Institute of Technology, ²Acticut International AB

The predictive maintenance of main machines of the ship
P Bielawski, Maritime Academy of Szczecin

Optimised bicoherence analysis
L Gelman, I Petrunin, Cranfield University

The study of data mining method in oil monitoring based on Bayesian network
W Zhifang, Wuhuan University of Technology

15:40

Development of the wireless intelligent sensors for condition monitoring systems
R Pietruszkiewicz, A Albarbar, A Starr, University of Manchester

Feature analysis in monitoring and diagnosis of the running state of a casting crane
J Miettinen¹, V Järvinen², P Leinonen³,
¹Tampere University of Technology, ²Gardner Denver Oy, ³Rautaruukki Oyj

Oil Condition Monitoring Technique for Fault Diagnosis on Crane Liebherr LHM-1200
H Ahmadi, University of Tehran

Use of On-line Sensor Technology for Oil & Machinery Condition Monitoring – Case studies on Real World applications, and their use to predict Machinery Failure and extend Oil Change Intervals
I Lamont, Kittiwake

Analysis of the cascade connection filters and its application to condition monitoring
D Magov, A Shcherba, National Technical University of Ukraine

Measure and diagnosis way of train bogie fault
Z Bin, Southwest Jiao Tong University

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Engineering asset management

Data fusion in condition monitoring
CHAIR: Dr S McInerny, The University of Alabama (Tuscaloosa)

Linking NDT to Condition and Structural Health Monitoring
CHAIR: Dr S Dixon, Warwick University

The future of condition monitoring
CHAIR: Dr S Roe, The British Institute of NDT

Acoustic emission technology
CHAIR: Dr S Schlindwein, The University of Leicester

Vibro-acoustic analysis
CHAIR: Prof AD Ball, Manchester University

16:25

Data quality and KPI's, a link to be established
V Masayna¹, A Koronios¹, J Gao¹, M Gendron^2
1University of South Australia
²Central Connecticut State University

A systems approach to data fusion for gas turbine condition health monitoring
M Krok, K McCarthy, GE Global Research Centre

Ultrasonic measurement of crystallographic texture in metals
S Dixon, S Essex, M Potter, the University of Warwick

The future of condition monitoring
Dr S Roe, The British Institute of NDT

Improving detectability on localised bearing defect using acoustic emission signal
Y Feng, F Schlindwein, The University of Leicester

Dual sensor measurement in pipe-work systems and its use in engine combustion monitoring
AD Ball¹, J Jiang¹,  R Gennish¹, F Gu¹, X Li², K Liu²,
¹The University of Manchester, ²Chinese Academy of Sciences

16:50

Assessing organisational capability maturity in information quality management: A case study in engineering asset management
S Baskarada, A Koronios, J Gao, University of South Australia

Remote condition monitoring using integrated technologies
J Van Dyke, DLI Engineering Corporation

Development of a solid-state multi-sensor array camera for real-time imaging of magnetic fields
P Gaydecki, D Benitez, S Quek, V Torres, Manchester University

The continued and future use of infrared thermography
R Thomas, Snell Infrared International

Improving detectability on localised bearing defect using wavelet denoised acoustic emission signal
Y Feng, F Schlindwein The University of Leicester

Characterisation of human perception for vehicle interior noise
F Jiao², J Jiang², Y Fan¹, F Gu², K Liu², AD Ball^1
1University of Manchester, ²Chinese Academy of Sciences

17:10

Integral decision support system for condition based asset management of electrical infrastructures
J Smit, Delft University of Technology, E Gulski, KSANDR

Asset health reliability estimation based on condition data
S Zhang, L Ma, Y Sun, J Mathew, CIEAM

Validation of surface mounted piezo-electric based sensor response for condition monitoring applications
S Pierce¹, K Worden², D Chetwynd², J Rongong² , J Hensman², ¹University of Strathclyde, ²University of Sheffield

Marine asset health management – qualification initiative
D Shorten, R Chenery, Lloyd's Register

A fault detection tool using AR pole trajectory
Y Feng, F Schlindwein, S Thanagasundram, The University of Leicester

The condition monitoring of mechanical seals using acoustic emissions
Y Fan, F Gu, AD Ball, University of Manchester

17:30

3D measurement for asset and environment authentication and analysis
T Breckon, Cranfield University

Rotating machinery fault diagnosis based on fuzzy data fusion techniques
X Liu, L Ma, J Mathew, CIEAM

Measurement of rolling bearing lubrication using piezoelectric thin films
B Drinkwater¹, J Zhang¹, K Kirk², J Elgoyhen², R Dwyer-Joyce^3
1University of Bristol ²University of Paisley ³University of Sheffield

The future of thermography in condition monitoring
C Pearson, BSRIA / UKTA

Condition monitoring of oil lubricated hybrid contacts using acoustic emission and electrostatic charge sensing techniques
L Wang, R Wood, The University of Southampton

Wave number prediction of the waves in fluid-filled buried pipes for leakage detection
W Duan, F Gu, A Ball, B Lennox, K papadopoulou, J Turner, University of Manchester

17:50

Enhancing data quality in engineering asset management organisations
V Chanana, A Koronios, University of South Australia

Machine prognosis with full utilisation of truncated lifetime data
A Heng¹, A Tan¹, J Mathew¹, B Yang², ¹CIEAM, ²Pukyong National University

Single sided capacitive imaging for structural health monitoring
G Diamond, P Purnell, D Hutchins, University of Warwick

Building energy efficiency using infrared thermography
N Walker, AWE

An experimental study of acoustic based condition monitoring of large diesel engines
D Moore, P Charles, J Jiang, F Gu, AD Ball, University of Manchester

18:10

A comparative study of engineering asset management best practice in Australia, New Zealand, UK and USA
Dr Rudolph Frederick Stapelberg , Griffith University / CIEAM

Elementary fusion of gear fault metrics – an instructional example
Prof S McInerny, University of Alabama

Recent developments in CBM optimisation: Including on-line sensor data in an open pit mining environment
N Montgomery, University of Toronto

An investigation into the fault detection of machines based on acoustic array systems
J Jiang, Y Fan, D Moore, F Gu, AD Ball, Manchester University

08:30

Plenary Keynote Lecture: Infrared thermography, a view from America
Dr J Snell, Snell Infrared

Plenary Invited Distinguished Lecture: Stress monitoring of civil and mechanical engineering infrastructure
Prof Brennan, Cranfield University

09:20

Panel Session: Future directions in condition monitoring
CHAIRS: P Anuzis¹, AD Ball², R Lyon³, ¹Rolls Royce, ²the University of Manchester, ³RWE Power International / the British Institute of NDT

Panel Session: Future directions in engineering asset management
CHAIR: J Mathew, CIEAM

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Strategic engineering asset management: Activities in the European research network 'EURENSEAM'
CHAIRS: Dr J Liyanage¹, Dr K Komonen^2
1CIAM / UIS, ²VTT Technical Research Centre

NDE of complex materials
CHAIR: Prof L Fradkin, London South Bank University

Acoustic emission technology & rotating machines
CHAIR: Dr D Mba, Cranfield University

Detection of leakage and blockage in pipelines using acoustic techniques
CHAIR: Dr F Podd, University of Bradford

The theories, methods and applications on fault feature extraction
CHAIR: Prof G Xu

Vibration monitoring techniques

10:25

European research network for strategic engineering asset management: preliminary action program and opportunities
J Liyanage, University of Stavanger, Norway.

Semi-analytical methods for modelling NDE of complex materials
L Fradkin, London South Bank University

Assessing AE signals from natural degradation of slow speed rolling element bearings
M Elforjani, D Mba, Cranfield University

Detection of leakage and lockage in pipelines using acoustic techniques
K Papadopoulou, B Lennox, T Taylor, J Turner, X Wang, University of Manchester

Dynamic fault diagnosis model based on support vector domain description
Z Qing, Xi'an Jiaotong University

Symmetry methods applied to the condition monitoring of slow speed slew bearings
C Moodie¹, A Tieu¹, S Biddle^2
1University of Wollongong
²Bluescope Steel

10:50

Dynamic project portfolio selection in infrastructure sector
T Koppinen, VTT Technical Research Centre

Condition monitoring of structures using magneto-stricitve sensor (MsS)
D Dulay, NDT Consultants

Energy index technique for early detection of incipient bearing failures with acoustic emission
K Al-Balushi¹, D Mba^2
1Sultan Qaboos University, ²Cranfield University

Low cost acoustic sensors for blockage detection in pipes
T Bin-Ali, University of Bradford

A dynamic alarm method for equipment operating condition based on probabilistic neural network
X Guanghua, Xi'an Jiaotong University

Monitoring of the machine elements in machine tools using vibration signals by FEM
H Ravindra, N Prakash, S Kumar, PES College of Engineering

11:10

Investment analysis for capacity management based on real options
Tony Rosqvist, Minna Räikkönen, Kari Komonen, VTT Technical Research Centre

NDE of concrete based on elastic waves: the role of imperfect bondings studied by numerical simulation and laser vibrometry
B Koehler, F Schubert
Fraunhofer-Institut für zerstörungsfreie Prüfverfahren (IZFP)

The influence of specific film thickness on the generation of acoustic emissions for operating spur gears
R Hamzah¹ D Mba², ¹University of Technology Malaysia, ²Cranfield University

Normal modes in partially filled pipes
F Podd, University of Bradford

Tribo-system condition monitoring based in SPA (set pair analysis)
W Zhifang, Wuhan University of Technology

Vibration diagnosis case of primary LNG pumps
K Eun, B Choi, K Jung, J Haneol, G Dongsik,
Korea Gas Technology Corporation

11:30

Enhancing manufacturing asset efficiency by means of a reference model: The integration of critical services into the manufacturing chain
G Schuh, G Gudergan, B Lorenz, A Garg FIR & RWTH

Condition monitoring of engineering assets using ultrasonic guided waves
P Mudge, TWI

Application of acoustic emission to monitoring two phase flow
A Addali, S. Al-Lababidi, D Mba, Cranfield University

Sludge and blockage detection inside pipes using ultrasonic guided waves
J Ma, M Lowe, Imperial College of London

A hybrid fault diagnosis system based on expert system, neural networks and case-based reasoning
T Han, University of Science and Technology

Electrical motor vibration acceptance criteria
A Mouton, Sasol Mining

11:50

Interaction between customer satisfaction and server satisfaction within industrial maintenance
S Suominen E Kupi, K Komonen, VTT Technical Research Centre

Digital audio and NDE: An unlikely but valuable partnership
P Gaydecki, the University of Manchester

Nonlinear ultrasonics in non-destructive evaluation and health monitoring of aircraft
R Vignjevic, L Kawashita, Cranfield University

Modelling propagation of ultrasonic guided waves in the layered steel / grout / steel structures
V Zernov, L Fradkin, London South Bank University

Feature extraction of impulsive-type periodic signals using morphological filter
W Jing, Xi'an Jiaotong University

A practical approach to fault diagnosis of transmission system electromotor in Mahshahr Silo by vibration condition monitoring
H Ahmadi, the University of Tehran

12:10

Asset management of Finnish waterworks
M Riihimaki, VTT Technical Research Centre

Investigation of photoelastic properties of nontransparent crystals
F Akhmedzhanov, Samarkand State University

On-line deposit surveys to determine the location and amount of deposit within operational pipelines prior to cleaning
L Robins, Tracerco

Nonlinear responses of two-span rotor-bearing system with coupling faults of crack and pedestal looseness
L Yuegang, Dalian National University

12:30

Evaluation of the health of spring steel (SUP-9) for corrosion property according to heat treatment and compressive residual stress
K Park, H Ju-Ryu, Pukyong National University

Pipe inspection using guided waves
W Zhou, M Ichchou, J Mencik, École Centrale de Lyon

A new design method of the real signal mother wavelet by lifting scheme and its application
Z Zhong, Toyohashi University of Technology

13:45

Plenary Keynote Lecture: Title to be confirmed
Prof J Chen, Shanghai Jiao Tong University

Plenary Invited Distinguished Lecture: Potential opportunities for non-contact ultrasonic methods in condition monitoring
Dr S Dixon, Dr R Edwards Dr M Potter, Dr X Jian, the University of Warwick

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Engineering asset management

Developments of advanced pattern recognition techniques for robust diagnostics
CHAIRS: Dr S King¹, Dr A Starr², ¹Rolls Royce, ²The University of Manchester

Parameter Analysis
CHAIR: Dr J Shi, University of Huddersfield

Advanced signal processing and condition monitoring
CHAIR: Dr N Martin, GIPSA-Lab

Tool condition monitoring using vibration measurements
CHAIR: Prof S Heyns, University of Pretoria

Instantaneous Angular Speed Analysis
CHAIR: Dr Y Li, University of Ulster (1)

14:25

Appling the lessons learned in asset management around the world to the development of a web-based program learning environment
A Howard, GHD

Trending of performance parameters for aircraft engine condition monitoring
S Utete, D Clifton, L Tarassenko, the University of Oxford

Fault signal extraction using deviation energy in frequency domain
J Shi, University of Huddersfield

Advanced Signal Processing and Condition Monitoring
N Martin, GIPSA-Lab

Tool condition monitoring using vibration measurements – a review
S Heyns, University of Pretoria

Selecting extreme patterns for classifier design
Y Li, the University of Ulster

14:50

Bringing asset investment planning technology to the smaller water concession
M Oakes, M Engelhardt, P Skipworth, SEAMS

Using differential encoding for fast time-series data pattern matching
B Liang, J Austin, the University of York

Model-based fault detection for an electro-hydraulic servo system using the extended Kalman filter
L Zheng¹, J Shi², A Ball^1
1University of Manchester
²University of Huddersfield

The future of motor protection: an example of sensor-less thermal monitoring of an induction motor
B Leprettre, Z Gao, R Colby, L Turner, Schneider Electric Industries

Tool wear monitoring using wavelet based multifractal analysis
A Ouahabi¹, W Rmili¹, D Aouit¹, S Jaffard², R Serra^1
1Université de Tours-Polytech'Tours, ²Université Paris XII

Non-contact measurement of IAS based on a laser mouse
S Zhi, P Charles, H Guo, F Gu, A Ball, University of Manchester

15:10

Cost-effective system for sewer inspection
O Moselhi¹, T Shehab², ¹Concordia University, ²California State University

New trends and the role of TPM
F Anvari, A Starr, the University of Manchester

Development of a fault prognostics model of a non-linear control system using the extended Kalman filter
L Zheng¹, J Shi², L Lidstone¹, A Ball^1
1University of Manchester, ²University of Huddersfield

Non-stationary signal analysis using fractional fourier methods
A Catherall, D Williams, Defence Science & Technology Laboratory

Artificial neural network based tool condition monitoring in drilling using vibration signal analysis
K Patra, S Pal, K Bhattacharyya, Indian Institute of Technology

An investigation of the engine flywheel speed fluctuation of large diesel-engine applications
P Charles, S Zhi, D Moore, H Guo, F Gu, A Ball, Manchester University

15:30

Why technological determinisn, why not socio-technical alignment for IS based asset management?
A Koronios, A Haider, the University of South Australia

Model-based fault detection and diagnosis of the anti-lock breaking system
A Elshanti¹, A Badri¹, A Naid¹, M Rgeai¹, J Shi², A Ball^1
1University of Manchester, ²University of Huddersfield

Diagnosis of mechanical failures in induction motors based on stator current Wigner distribution
M Chabert, M Blodt, J Regnier, E.N.S.E.E.I.H.T.

Data reduction in gear vibration analysis
L Mdlazi¹, C Stander¹, S Heyns¹, T Marwala², ¹the University of Pretoria, ²the University of the Witwatersrand

Feature selection based on relevance vector machine for condition monitoring
K Zhang, J Treetrong, Y Fan, F Gu, A Ball, University of Manchester

15:50

Implementation of an asset management system
J Neophytou

Prediction of diesel engine exhaust valve and injector fault using exhaust gas pressure and numerical simulation
R Gennish, J Jiang, F Gu, A Ball, University of Manchester

Characterisation of signals issued from real systems using time-frequency phase based modelling procedure
C Ioanna¹, A Jarrot², C Cornu³, A Quinquis², ¹L.I.S, ²ENSIETA, ³Thales Groupe

Gearbox dynamic simulation estimation of fault growth
S Wu, M Zuo, University of Alberta

Experimental study of mechanical fault detection in reciprocating compressors using motor current signature analysis
A Naid, F Gu, A Ball,University of Manchester

16:10

A data quality survey for engineering asset management in Australia
S Lin, A Koronios, J Gao, the University of South Australia

Monitoring electric motors based on parameters identification techniques
J Treetrong, K Zhang, Y Fan, F Gu, A Ball, University of Manchester

On estimation of non-stationary motion parameters in video sequences
S Stankovic, University of Montenegro

A non-invasive technique for damage detection by wavelet analysis of vibration signals
B Basu, Trinity College Dublin

16:30

Asset management processes and their representation
L Ma, J Mathew, CIEAM

Condition monitoring of mechanical seals
B Rajan¹, J Gill^2
1Glaxo Smith Kline, ²Maia Systems

Condition monitoring of marine couplings through vibration analysis techniques
S Delvecchio, G Dalpiaz, E Mucchi, ENDIF