Programme 14 June 2017

13-16 June 2017, ILEC Conference Centre, London, UK 

Wednesday 14 June
08.00 onwards Registration – Room: TBC
08.30-09.00 Plenary [201]
Title: TBC
Author: TBC
Chair: TBC
Room: TBC

15-Minute Comfort Break
  Session 3A – Mechanical diagnostics and prognostics
Chair: Dr R Klein
Room: TBC
Session 3B – TBC
Chair: Professor L Wang
Room: TBC
Session 3C – Signal and image processing, pattern recognition and finite element modelling
Chair: Professor E Juuso
Room: TBC
Session 3D – Condition monitoring methods and technologies – General condition monitoring
Chair: TBC
Room: TBC
Session 3E – Condition monitoring methods and technologies – Application of acoustic emission testing for condition monitoring of various structures
Chair: Professor I Razuvaev
Room: TBC
Session 3F – Ultrasound
Chair: TBC
Room: TBC
Session 3G – Signal processing
Chair: Dr M Papaelias
Room: TBC
09.15-09.35[202] An analytical model for rolling element spall interaction in bearing inner race

E Madar, G Kogan and J Bortman
Pearlstone Center for Aeronautical Engineering Studies and Laboratory for Mechanical Health Monitoring, Department of Mechanical Engineering

[203] Electrostatic monitoring of tribo-contacts: then and now

H Powrie, L Wang and R Wood
University of Southampton

[204] Invited Overview Presentation

Signal processing for condition monitoring – exciting challenges ahead

Professor N Martin
[205] Integrated binocular vision sensor fusion for conveyor belt rupture monitoring

Y Pang1, T Qiao2, L Chen2 and G Yan3
1Transport Engineering and Logistics section, Delft University of Technology
2Engineering Research Center for Measuring and Controlling Technology, Taiyuan University of Technology
3School of Information Engineering, Taiyuan University of Technology

[206] Application of acoustic emission in integrated structural health monitoring systems: Problems, solutions and results

I Razuvaev
Alcor Corp

[207] Invited Overview Presentation


Professor K Balasubramanian

[208] Evaluation of damage mechanics of industrial wind turbine gearboxes

V J Junior1, J Zhou1,
S Roshanmanesh1, F Hayati2, S Hajiabady1, X Y Li1,
H Dong1 and M Papaelias1
1School of Metallurgy and Materials, University of Birmingham
2School of Engineering, University of Birmingham

09.35-09.55[209] Vibration analysis of double Cardan joints with needle bearing faults

M Battat
Ben-Gurion University of the Negev

[210] Condition monitoring of PTFE composite material bearing through the wearing simulation

K Yang and Y Gao
Wuhan University of Technology, China
[211] Steel grade-specific stress predictions to support roller leveller maintenance

R-P Nikula and K Karioja
University of Oulu

[212] Security monitoring system development for large-scale portal crane

K Ding, N Zhao, H Wang, Y Zhang and Y He
China Special Equipment Inspection and Research Institute

[213] The advanced acoustic emission technique for condition monitoring of industrial facilities

T B Petersen, V V Shemyakin, A B Samokhvalov and V Y Chernigovsky

[214] Novel active ultrasonic reflectometry measurement technology for monitoring the condition and performance of hydrodynamic bearings

P Harper
Tribosonics Ltd
[215] Indicative bearing fault analysis of wind turbine generator bearings using tower vibration

E Mollasalehi
University of Calgary
09.55-10.15[216] Phase editing for enhanced diagnosis of bearing faults under variable speed conditions

L Barbini1, M Eltabach2 and J L duBois1
1Mechanical Engineering, University of Bath
2Senlis, Cetim

[217] Early failure detection for bearings in electrical environments

M Zuercher1  and K Esmaeili2
1Process Machinery and System Engineering, Germany
University of Southampton
[218] Crusher wear monitoring in IoT framework

A Koistinen, J Laurila and E Juuso
University of Oulu

[219] Review of condition indicators for transformers in marine applications

S Bhandari1, M Chai1, S Aravinth1, S K Panda1, N Sivakumar2 and A K Gupta2
1National University of Singapore
2Rolls Royce Singapore Pte Ltd, Singapore

[220] AE source location in the monitoring of industrial structures

A B Samokhvalov

[221] Direct load measurement of a wind turbine high-speed shaft bearing in the field

G Nicholas1, T Howard1, R Dwyer-Joyce1, J Wheals2 and D Benchebra2
1The University of Sheffield
2Ricardo Innovations Ltd, Midlands Technical Centre

[222] Task-specific condition monitoring of industrial CT systems using dedicated data quality measures

T Schoenfeld and M Bartscher
Bundesanstalt, Germany

Exhibitors Spotlight Session with Tea, Coffee and Exhibition – Room: TBC
11.30-11.50[223] Influences of clearances in gear systems on signal vibration

I Dadon
Ben-Gurion University of the Negev

[224] Advanced signal processing techniques for wind turbine gearbox bearing failure detection

K Esmaeili1, M Zuercher2, L Wang1 , T J Harvey1 and W Holwegeri3
1University of Southampton
2Process Machinery and System Engineering, Germany
3Schaeffler Technologies, Germany

[225] Advanced data analysis in condition-based operation and maintenance

E K Juuso
University of Oulu

[226] PMSM-based marine propulsion motor for the development of advanced health monitoring methods

K Ahsanullah
National University of Singapore

[227] Investigations of the AE signal propagation in vessels and tanks inoperation

A Kamyshev, I  Razuvaev and E Suchkov
Alcor Corp

[228] Invited Overview Presentation

Materials coating

Professor R Fu

[229] Initial steps towards an automated system for monitoring the TIG welding process

D Bacioiu1, G Melton2, M Papaelias1 and R Shaw2
1University of Birmingham
2TWI Ltd

11.50-12.10[230] High-definition gearbox monitoring

S Jackson1 and C Larsson2
1SPM Instrument UK Ltd
2SPM Instrument AB

[231] Design of miniature viscosity sensor based on single-chip microcomputer

K Yang1,2, X Zeng1 and X Sun2
1Reliability Engineering Institute, Wuhan University of Technology
2National Engineering Research Center for Water Transport Safety, Wuhan University of Technology

[232] Transient dynamic finite element modelling of flexible rotor systems with non-linear fluid film bearings and faults

S Heyns, A Kruger and A J Oberholster
University of Pretoria

[233] Correlation-based condition monitoring of a roller chain

T Kärcher and G Schullerus
Energodiagnostika Co Ltd

[234] Application of acoustic emission method to diagnose damage in pneumatic cylinders

H Mahmoud1, F Vlasic2, P Mazal1 and M Jana3
1Brno University of Technology, Brno, Czech Republic
2Center of Technical Diagnostic ZD Rpety – DAKEL, Czech Republic
3Poličské Strojírny a.s., Policka, Czech Republic

[235] Using ultrasound to improve lubrication practices

C Hallum
UE Systems UK & Ireland

[236] Welding quality monitoring using acoustic emission techniques

M Xing1, P Mayorkinos1, G Melton2 and R Shaw2
1University of Birmingham
2TWI Ltd
[237] The novel higher order technique, the wavelet spectral cross-covariance for gearbox vibration condition monitoring

L Gelman1, K Solinski2, B Shawand M Vaidhianathasamy3
1Cranfield University
2Meggitt Sensing Systems Switzerland
3Newcastle University

[238] Integrated smart bearings for next-generation aero engines.
Part 1: Development of a sensor suite for automatic bearing health monitoring

I Bashir1, L Wang1, T J Harvey1, B Zaghari2, A Weddell2 and N White2
1National Centre for Advanced Tribology at Southampton (nCATS), Faculty of Engineering and the Environment, University of Southampton
2Electronics and Computer Science, University of Southampton
[239] Piston leak detection in an axial piston pump using the Vold-Kalman filter

D Bensaad, A Soualhi and F Guillet
Université de Lyon

[241] Condition monitoring method of satellite flywheel system based on acoustic parameters fusion

T He1, H Wang2, W Liu1, Q Pan1 and Q Tao2
1School of Transportation Science and Engineering, Beihang University
2Beijing Institute of Control Engineering
[242] Training of NDT personnel in the field of condition monitoring and technical diagnostics based on the metal magnetic memory method

S Kolokolnikov and A Dubov
Energodiagnostika Co Ltd, Moscow, Russia

[243] Effective automated analysis of acoustic emission signals
N Angelopoulos and M Papaelias
University of Birmingham

[244] Online real-time monitoring system through using adaptive angular-velocity VKF order tracking

Y Ting-Chi and P Min-Chun
National Central University, Taiwan 

[245] Integrated smart bearings for next-generation aero engines.
Part 2: Energy harvesting and wireless communication development

B Zaghari1, A Weddell1, N White1, I Bashir2, T J Harvey2 and L Wang2
1Electronics and Computer Science, University of Southampton
2National Centre for Advanced Tribology at Southampton (nCATS), Faculty of Engineering and the Environment, University of Southampton
[246] High-frequency transformer modelling using state space representation for FRA studies

A Abu-Siada Curtin University of Technology, Australia

[248] Using vibration and acoustic emissions to monitor wear damage in a slurry pipeline

M Lipsett and C Ying
University of Alberta
[249] Application of ultrasound technology in condition monitoring

P Holstein

[250] Meeting of the International Committee of Condition Monitoring
Lunch and Exhibition – Room: TBC
Plenary [251]
Title: TBC
Author: TBC
Chair: TBC
Room: TBC

15-Minute Comfort Break

Session 4A – Signal processing
Chair: I Petrunin
Room: TBC
Session 4B – TBC
Chair: Professor S Noroozi
Room: TBC
Session 4C – Advanced signal processing in condition monitoring
Chair: Professor S Lahdelma and Mr K Karioja
Room: TBC
Session 4D – Condition monitoring methods and technologies – General condition monitoring
Chair: TBC
Room: TBC
Session 4E – Condition monitoring methods and technologies – Acoustic emission
Chair: Professor I Razuvaev
Room: TBC
Session 4F – SHM
Chair: TBC
Room: TBC
Session 4G – Railways
Chair: Dr M Papaelias
Room: TBC
14.45-15.05[252] Identification of multi-faults in rotor-bearing system using spectral kurtosis and EEMD

X Gong1, B Zhao1, A Georgiadis2, W Du1 and Z Xiao1
1Zhengzhou University of Light Industry, China,
2Leuphana University of Lüneburg, Germany

[253] Visualising kinematics of Össur elastic energy storing and returning prosthetic foot using novel low-cost optical tracking systems

S Noroozi1, N Aslani1, P Sewell1, A Ong2 and M Khoo2
1Bournemouth University
2Department of Mechanical Engineering, University of Malaya

[254] Methods for automatic condition monitoring

K Karioja
University of Oulu

[255] Integrated generator rotor and stator winding condition monitoring

M Sasic, J Letal and G C Stone
Iris Power – Qualitrol, Canada

[256] Application of acoustic emission for evaluating technical condition of equipment in the process of RBI

A Miseiko
Scientific and Technical Center LLC
[257] Invited Overview Presentation

SHM (Structural health monitoring)

Professor V Hristoforou
[258] Increasing the reliability, availability, maintainability and safety of railway network operations through effective remote condition monitoring

E H Gunel1, P Yilmazer1, U Bicer1, B B Altintas1, A Amini2, P Vallely2,3, Z  Huang2, F P Garcia Marquez4, S Kaewunruen2 and M Papaelias2
1Turkish State Railway Research and Technology Centre, Turkey
2University of Birmingham
3Network Rail Infrastructure Limited

4ETSII, Universidad de Castilla-La Mancha, Ciudad Real
[259] Detection and diagnosis of rail surface defects using signal and image processing techniques

A K Ng1, L Martua1, J Yebra2 and G Sun2
1Singapore Institute of Technology
2Land Transport Authority, Singapore
[260] Monitoring the suitability of the fit of a lower-limb prosthetic socket using an artificial neural network in commonly encountered walking conditions

P Davenport1, S Noroozi1, P Sewell1 and S Zahedi2
1Bournemouth University
2Chas A Blatchford and Sons Ltd

[261] Axle mounted piezoelectric energy harvester for continuous energy harvesting from rotation and vibration

M Leinonen, J Palosaari, J Juuti and H Jantunen
Microelectronics Research Unit, University of Oulu
[262] Multiple physical signal-based performance degradation prediction of slewing bearing

H Wang1, B Zhang1, R Hong1, X Gao2 and B Pang3
1School of Mechanical and Power Engineering, Nanjing Tech University
2Shanghai OujiKete Slewing Bearing Co Ltd
3Luoyang LYC bearing Co Ltd 
[263] Low-speed bearing condition monitoring with acoustic emission techniques

F Alshammari
Cranfield University

[264] Measurement of a defect size in a plate by incorporating an inverse problem 

A Sedaghati and F Honarvar
NDE Lab, Faculty of Mechanical Engineering, K N Toosi University of Technology, Tehran, Iran
[265] Wayside detection of axle bearing faults in rolling stock through correlation processing of high-frequency acoustic emission signals

Z Huang1, M Papaelias1 and Z Q Lang2
1University of Birmingham
2University of Sheffield
[266] Effects of gear manufacturing errors on rack and pinion steering meshing

D Marano1, A Piantoni1, L Tabaglio1, M Lucchi1, M Barbieri2 and F Pellicano2
2University of Modena and Reggio Emilia

[267] Condition monitoring of a compressor motor unit: an investigation of abnormal high-pitch noise

A Ghaffar1, A Rahman1, S Mahathir2, S Mohd al-Attas2, S Noroozi3 and M Dupac3
1University of Malaysia Pahang
2Quadrant 2 Technologies
3Bournemouth University

[268] Signal processing applications based on real and complex order derivatives

J Laurila1 and S Lahdelma2
1University of Oulu
2Tirriäisentie, Oulu, Finland
[269] An assessment of the predictive power of different sensor data streams for failure and fault identification in conveyor systems

O F Gebler1, B Hicks1, A Harrison1 and M Barker2
1University of Bristol
2Stirling Dynamics
[270] Acoustic monitoring of subsea blowout preventers using mixtures of hidden Markov models

M Svensén1, D S Hardwick1, H E G Powrie1, G K Nielsen2 and Y Villanger2
1GE Aviation Digital
2Naxys AS
[271] In-situ inspection of composite isolators in 500 kV live overhead transmission lines by computer radiography

H Fujiwara1, A H Shinohara1, E J Silva Jr1, G J V Xavier1, H B D T Lott Neto2, P R R Britto2 and  M A B Fontan2
1UFPE – Federal University of Pernambuco, Brazil
2STN – Sistema de Transmissão do Nordeste SA
[272] Remote condition monitoring of railway axle bearings based on data fusion from several sensors

E Giannouli1,2, Z Huang1, A Amini1, P Vallely1,3, S Soua2,4, F P G Marquez5 and M  Papaelias1  
1University of Birmingham 
2National Structural Integrity Research Centre
3Network Rail Infrastructure Limited
4TWI Limited, Cambridge
5ETSII, Universidad de Castilla-La Mancha
Tea, Coffee and Exhibition – Room: TBC
[273] Vibrations of structural elements and their systems with local surface damage

K Vadym, Z Anatoliy and G S Pisarenko
Institute for Problems of Strength of the National Academy of Sciences of Ukraine

[274] In-line water quality monitoring system (IWQMS)

K Abuowda1, A A Issa2, A Hamid Soliman3 and H H Aly3
1Bournemouth University
2Al-Azhar University
3Staffordshire University

[275] An improved blade forced response model for non-intrusive blade vibration monitoring and signal simulation

S Heyns and C Church University of Pretoria

[276] A strategy for the selection of condition monitoring methods and techniques

T-H Pham1, J  Windelberg1, S Ferreiro2 and I  Bravo-Imaz2
1German Aerospace Center (DLR) - Institute of Flight Systems
2Intelligent Information Systems, Spain

[277] Integrated monitoring systems of a-line family

E Sergey
AED Monitoring

[278] Evaluation of reinforced concrete of foundations and concrete towers of 230 kV transmission lines by a high-energy computed radiography system with betatron

A H Shinohara1, J F A G Wavrik1, H Fujiwara1, V S Barros1, P Regis1, H J Khoury1, P I Sá2 and E Garcez2
1UFPE – Federal University of Pernambuco, Brazil
2CHESF – Companhia Hidrelétrica do São Francisco, Brazil

[279] Integrating remote condition monitoring of railway infrastructure with high-speed inspection

P Vallely1, 2 and M Papaelias1
1University of Birmingham
2Network Rail Infrastructure Limited

[280] Improving damage diagnosis of gearboxes run in non-stationary conditions by novel adaptation of spectral kurtosis and technology parameters

S Kolbe
Cranfield University

[281] Sensor technology development for use in condition monitoring

M Koohgilani1 and K Maynard2
1Bournemouth University
[282] A case study involving image data processing for automated ultrasonic testing tailored to composites inspection

G Fenga, J Suna, A Yung, B Chonga, J Kanfoud and T-H Gan
Brunel University London

[283] How system observability affects fault classification accuracy and implications for sensor selection and placement for condition monitoring

M Lipsett
University of Alberta

[284] Acoustic vibration monitoring

T Murphy
Reliability Team Limited

[285] Case study involving failure of titanium impellers in hydrogen environment

M Dobrotvorskii

[286] Remote condition monitoring of structural integrity of rails and crossings

S Shi1,2, Z Huang1, S Kaewunruen3, P Vallely1, S Soua2,4 and M Papaelias1
1School of Metallurgy and Materials, University of Birmingham

2National Structural Integrity Research Centre, Cambridge
3School of Engineering, University of Birmingham
4TWI Limited, Cambridge
[288] Condition monitoring through the ages

M Koohgilani1 and K Maynard2
1Bournemouth University

[289] An adaptive thresholding segmentation method involving ferrographic image for oil condition monitoring

B Xu1, G Wen1,2, Z Zhang1 and F Chen1
1The Research Institute of Diagnosis and Cybernetics, Xi’an Jiaotong University
2School of Mechanical Engineering, Xinjiang University
[290] Condition monitoring of railway overhead lines: correlation between geometrical parameters and performance parameters

M Carnevale1, A Collina1 and M Palmiotto2
1Dipartimento di Meccanica, Politecnico di Milano
2Rete Ferroviaria Italiana SpA

[291] Using ultrasound to solve problems on assets that don’t rotate

T Murphy
Reliability Team Limited

[292] Advantages of scanning methods in NDT

G Por, M Agocs, E Kocso and J Molnar
University of Dunaujvaros

[293] Operational safety assessment research of rail system

Y Qin
Beijing Jiaotong University
[295] An investigation into the effect of boundary conditions on the mechanical characteristics of an energy storing and returning prosthetic foot subjected to non-destructive testing

J Hawkins, S Noroozi, M Dupac and P Sewell
Bournemouth University

[298] Monitoring of injection moulding process of polymers with acoustic emission sensors

T Kek and J Grum
Faculty of Mechanical Engineering, University of Ljubljana

[299] Generation of a specific Lamb wave mode for structural health monitoring of plate-like structures

A Sedaghati and F Honarvar
University of Technology, Iran

ISCM Annual General Meeting

Free evening to see the sights of London

Click here to view the congress programme for Tuesday 13 June, click here to view the congress programme for Thursday 15 June or click here for the congress programme for Friday 16 June.


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