Programme 12-13 June 2017

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



Monday 12 June
16.00 onwards Registration – Room: ILEC Conference Centre Foyer
18.00-20.00 Welcome Buffet – Room: London 9
20.00-22.00 Meeting of the ISCM Management Committee – Room: Hyde Park (first floor)

Tuesday 13 June
08.00 onwards Registration – Room: ILEC Conference Centre Foyer
08.45-09.15 Opening Ceremony – Professor L Gelman, C Bull and C Sinclair
09.15-09.45 Plenary Keynote Lecture [101] History and future trends of machine condition monitoring – a personal perspective
Professor R B Randall, University of New South Wales
Chair: Professor L Gelman
Room: London 7 and 8

09.45-10.00 An Introduction to Condition Monitoring and Diagnostic Technologies – Promotion of CM Book
Professor A Hope
Chair: Professor L Gelman
Room: London 7 and 8

10.00-10.30
Tea and Coffee Break – Room: London 9
  Session 1A – Condition monitoring methods and technologies
Chair: Dr T Ciszewski
Room: London 7 and 8
Session 1B – Condition monitoring methods and technologies
Chair: Professor A Lucifredi
Room: London 1
Session 1C – Trained structures and statistical methods in condition monitoring
Chair: Professor L Kuravsky
Room: London 2
Session 1D – Condition monitoring methods and technologies
Chair: Professor A Hope
Room: London 3
Session 1E – Vibration condition monitoring methods and technologies
Chair: Dr S Ganeriwala
Room: London 4
Session 1F – Signal processing: Identification, fault diagnosis and reliability for complex system monitoring – Part 1
Chair: Dr N Martin
Room: London 5
10.30-10.50[102] Novel condition monitoring of induction motor bearings via motor current signature analysis

T Ciszewski1, A Dzwonkowski1, L Swędrowski1 and L Gelman2
1Gdańsk University of Technology
2Cranfield University

[103] The diagnosis and prognosis of analogue and digital electronics using biologically-inspired neural networks and artificial intelligence

B D McCartney
[104] Applied multi-agent system to study the behaviour of operators of complex technical systems

L S Kuravsky, S I Popkov and S L Artemenkov
Moscow State University of Psychology and Education

[105] Research on image comparison processing technology in electrical equipment infrared thermography detection

Y Yu1,2, G Shen1,2, C Ye1 and Y Li1
1China Special Equipment Inspection and Research Institute (CSEI)
2AKLNDE, China

[106] Probe track run-out identification and compensation to benefit machinery diagnostics

P Barrowclough
GE Oil & Gas

[204] Invited overview presentation

Signal processing for condition monitoring – exciting challenges ahead

Dr N Martin
10.50-11.10[108] Condition monitoring of superconducting magnets

M Wołoszyk1, M Ziółko1, M Michna1, L Swędrowski1, A Wilk1 and P Szwangruber2  
1Gdańsk University of Technology, Poland
2GSI Helmholtz Centre for Heavy Ion Research, Germany

[109] What is big data? Nothing new, just true all-encompassing condition monitoring of your rotating plant, which is beneficial as a management and risk reduction aid

C J P Fryer
Sulzer Dowding & Mills
[110] On the approach to adaptive psychological testing of CM personnel

L S Kuravsky, S L Artemenkov and G A Yuryev
Moscow State University of Psychology and Education

[111] Comparative assessment of manual and automated fault detection methods for railcar air brakes

D Juhaszova and M Lipsett
University of Alberta, Canada

[112] Using cepstrum information to detect gearbox faults in wind turbine planetary stage gearboxes

K Marhadi and G A Skrimpas
Brüel & Kjær Vibro A/S,
Nærum, Denmark


[113] Belt looseness monitoring through the analysis of both amplitude and phase components of stator currents

A Picot1, E Fournier2,
C Filleau1,2, J Regnier1,
E Mouni2 and P Maussion1
1LAPLACE, Université de Toulouse 
2Leroy Somer

11.10-11.30[114] Multi-parameter modular single-platform monitoring system for large motors and generators

B Fruth
Quartzteq GmbH, Switzerland



[115] Deeper insight into railway switch condition nowcasting

B Dutschk1, J C Groos2, E Hadzic3 and T Böhm4
1Karlsruhe Institute of Technology (KIT), Germany
2German Aerospace Center (DLR) – Institute of Flight Systems
3Strukton Rail Netherlands, Utrecht
419055 Schwerin, Germany
[122] On the problem of detecting abrupt changes in the time histories of diagnostic symptoms

T Gałka
Institute of Power Engineering, Poland

[117] Location and quantitative evaluation of impact fatigue defects in metallic components with eddy current thermography

S Yang, L Liu and B Bahrami Mianrood
School of Manufacturing Science and Engineering, Sichuan University

[118] Wind turbine gearbox fault prediction algorithm based on feature subspace

P Yubin, R Hong, J Chen and H Wang
Nanjing University of Technology
[119] Rotating machine speed estimation using vibration statistical approach

M Eltabach1 and G Govaert2
1Senlis, Cetim
2Sorbonne Universitiés



11.30-12.00
Tea and Coffee Break – Room: London 9 – Sponsored by SpectraQuest Inc
12.00-12.20[120] Early detection of inter-turn stator winding short of an induction motor using an online frequency response method

K Y See and S B Rathnayaka
SMRT-NTU Smart Urban Rail Corporate Laboratory, Nanyang Technological University, Singapore

[121] Advanced condition monitoring of electric submersible pumps (ESPs)

F J Quail
Aramco Overseas Company UK Ltd

[128] Reliability criteria and monitoring of the technical condition of powerful turbine units with use of static and dynamic forces in support of shaft lines

A I Kumenko, A V Timin, N Y Kuzminykh
DYNAMICS SPC

[123] Influence of instrument channel uncertainties on monitoring systems

P Crubellier
Comisión Nacional de Energía Atómica


THIS PAPER HAS BEEN CANCELLED AFTER THE PRINTING OF THE PROGRAMME
[124] A wireless system for conducting remote vibration monitoring using a remotely-operated deployment robot

M G Lipsett, N A Olmedo and B T Tesfay
University of Alberta, Canada

[125] The application of the cyclic coherence for distributed planet fault detection in planetary gears

D Abboud1, M Elbadaoui1,2,  S Becquerelle3 and M Lalmi3
1Safran Tech, France
2Université de Lyon, France
3Safran Transmission Systems

12.20-12.40[126] Turbine generator stator part temperature monitoring based on KDE-PCA model

L Jun1, Q Fang1 and W Xin2
1Shanghai Electric Power Generation Group
2Xi'an Jiaotong University

[127] Data-driven prognostics

M von Plate
Cassantec AG

Presented by M Zvyagina

[134] Hydroelastic oscillations fuel assembly in water and liquid metal coolant

V D Sizarev
Joint Stock Company NA

[129] Monitoring gearbox oil viscosity by means of motor current signal analysis

P V Vuuren1, F Gu2, A D Ball2 and Y Xu2
1North-West University, South Africa
2Centre for Efficiency and Performance Engineering, University of Huddersfield

[130] Vibration analysis of wind turbines

D Whittle
RMS Ltd

[131] Cepstral removal of resonance effects to improve the use of traditional gear diagnostic indicators under variable speed

W A Smith, R B Randall, C Hu and Z Peng
University of New South Wales, Australia
12.40-13.00
[132] Fault detection of bearing defects for ball screw-based electromechanical actuators

M A A Ismail and J Windelberg
German Aerospace Center (DLR) – Institute of Flight Systems

[133] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION [116] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[135] Comparison of lock-in and pulse compression thermal imaging techniques for non-destructive defect detection

D Roy1 and S Tuli2
1Centre for Applied Research in Electronics, India 
2Bennett University, India

[136] From condition monitoring to condition/reliability improvement

D Whittle
RMS Ltd

[137] Non-uniform (Re) sampling for optical encoders

F Bonnardot and J Al Fallah
Université de Lyon, LASPI, France



13.00-14.00
Lunch – Room: London 9
13.30-15.30
ICNDT Working Group Meeting – Room: Hyde Park (first floor)
14.00-14.30Plenary Keynote Lecture [138] Aero engine health monitoring and diagnostics for smart control and fleet management within a global environment
Dr P Laskaridis and Professor P Pilidis, UK
Chair: Professor L Gelman
Room: London 7 and 8


Session 2A – Condition monitoring and NDT methods and technologies
Chair: Professor T-H Gan
Room: London 7 and 8
Session 2B – Vibration condition monitoring methods and technologies
Chair: Professor V Kostyukov
Room: London 1

Session 2C – Trained structures and statistical methods in condition monitoring
Chair: Professor L Kuravsky
Room: London 2
Session 2D – Signal processing: Identification, fault diagnosis and reliability for complex system monitoring – Part 2
Chair: Dr N Martin
Room: London 3
Session 2E – Vibration condition monitoring methods and technologies
Chair: Dr H Chandra
Room: London 4
Session 2F – Signal processing for condition monitoring and NDT
Chair: Dr K C Gryllias
Room: London 5

14.30-14.50[139] Ultrasonic probe using advanced piezoelectric single-crystal gallium orthophosphate for NDT at 580°C

M Kostan1,
C Nageswaran2, T–H Gan1,2 and J Kanfoud1
1Brunel University London
2TWI Ltd

[140] Improving reliability of vibration spectrum identification without increasing sampling rate using a spectral interpolation algorithm

V N Kostyukov and S N Boychenko
DYNAMICS SPC

[141] Balancing of shafting of a test-rig using shaft displacement sensors

A I Kumenko, N Y Kuz'minykh and A V Timin
DYNAMICS SPC

[142] How a bearing defect modifies vibration and IAS of a rotating machine: a phenomenological overview based on experiments and models

D Rémond, J-L Gomez and A Bourdon
Université de Lyon
 


[149] Planetary gearbox fault feature extraction based on sparse decomposition under variable speed operation

Y Li, K Ding and G He
South China University of Technology, China

[144] Measurement of rotor forces acting on a rotor with use of magnetic bearings NTIS: new technologies for the information society – cybernetics

K Kalista
NTIS (New Technologies for the Information Society) – Cybernetics

14.50-15.10
[145] Modelling and measurement of guided wave propagation in Denso tape-coated pipes

W Duan1, J Kanfoud1, T-H Gan1,2, M Deere2 and P Mudge2
1Brunel University London
2TWI Ltd, Cambridge
[146] Reducing machine downtime through vibration monitoring analysis: use case of a mechanical press machine and transfer

U Martínez-de-Estarrona1, A González-González1, J C Sánchez1, D Seneviratne2 and D Galar1,2
1Tecnalia Research and Innovation, Spain
2Luleå University of Technology, Sweden

[147] On additional requirements to vibration control systems and systems for monitoring the technical state of turbo sets for thermal and nuclear power plants

A I Kumenko and N Y Kuz'minykh
DYNAMICS SPC
[148] Automatic track and balance of wind turbine rotors

M Bertele1, C L Bottasso1, S Cacciola2 and M Domestici3 
1Technische Universität, München
2Politecnico di Milano
3University of Perugia

[143] Modelling of experiment of a faulted spur gear pair

A Zippo, F Pellicano and M Barbieri
University of Modena and Reggio Emilia



[150] Resistant spot welding quality assessment based on novel wavelet analysis with multi-indexes

S Chen, N Wu, J Hao, T Sun and L Cui
Beijing University of Technology

15.10-15.30
[151] Digital vibration monitoring and risk analysis system for process piping

A Angulo
TWI
[152] Real-time monitoring on vibration-based diagnostics of reciprocating compressors

V N Kostyukov and A P Naumenko
DYNAMICS SPC

[153] Impact of static compliance of support and non-linearity of oil film on shafting alignments during monitoring of support misalignments

A I Kumenko, N Y Kuz'minykh and A V Timin
DYNAMICS SPC


[154] A telemetry monitoring system using the one-class SVM method

L Chaari1,2,3, J-Y Tourneret1,2,3, S Fuertes4, G Picart4, A Ferrari5 and
C Richard5
1INP-ENSEEIHT, University of Toulouse
2IRIT, Toulouse
3TeSA (Telecommunications for Space and Aeronautics Lab)
4Centre National d’Études Spatiales (CNES)
5University of Nice Sophia Antipolis
[155] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[156] A semi-supervised SVDD-based fault detection method for rolling element bearings

K C Gryllias, J Qi, A R Mauricio and P-J Vandenbrande
Department of Mechanical Engineering, KU Leuven
15.30-16.00
Tea and Coffee Break – Room: London 9
16.00-16.20
[157] Investigation of the high-temperature performance of ultrasonic guided wave systems for in-service condition monitoring of pipework in thermal power plants

A Dhutti1, T-H Gan1, 2, A Mohimi2 and J Kanfoud1
1Brunel University London
2TWI Ltd

[158] Piezoelectric-based wireless vibration characteristic research for rail base of turnout switch rail

P Hu1, H Wang1, G Tian1,2, P Wang1, R Guo2, F Qiu3, Q Liu1 and W Wang1
1Nanjing University
2Newcastle University

3University of Electronic Science and Technology of China

[159] Discrepancy signal processing techniques for gearbox condition monitoring applications

S Schmidt, P S Heyns and J P de Villiers
University of Pretoria


[160] Dynamic factor analysis and predictive diagnosis of critical railway components

A Samé1 and G Govaert2
1Université Paris-Est, France
2Heudiasyc, France


[161] A low-power wireless vibration sensing framework for machine health monitoring using a packet loss tolerant approach

A Villanueva-Marcocchio1 and B Jones2
1University of Sheffield
2IEEE

[168] Multi-sensory data fusion for real-time welding defect detection: reviews and its application case

Z Zhang and G Wen
Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, The Research Institute of Diagnosis and Cybernetics, Department of Mechanical Engineering, Xi’an Jiaotong University

16.20-16.40
[163] Developments in the application of non-intrusive techniques for identifying the condition of high-voltage switchgear and cables

J Butler
EA Technology Ltd


[164] Diagnosis of rolling bearing defects of fan and root cause analysis

H Fan and Z Xiang
SKF, China

[165] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION


[166] Analysis of IAS for condition monitoring by means of a simplified wind turbine dynamic model

J L Gomez1,2, I Khelf1,2, A Bourdon11, H Andre3, L Alloinand D Remond2
1Université de Lyon
2Engie Green, France
3LASPI – Université de Lyon
[167] Implementation of a null space anomaly detection method on rolling element bearings

E Zugasti, U Leturiondo and O Salgado
IK4-IKERLAN Technology Research Centre
[174] Thrust bearing monitoring of vertical hydro-turbine generators

R Nowicki1 and N Morozov2  
1GE Digital, Poland
2GE Digital, Russia

16.40-17.00
[169] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[170] Matching pursuit based on slip-matrix singular value decomposition for rolling bearing fault diagnosis

J Xu1,2, F Cong1, S Tong1, N Tang2 and Y Zhou2
1Zhejiang University 
2Institute of Thermal Science and Power Engineering, Zhejiang University

[305] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[172] Modal parameters assessment of civil engineering structures using long-range LIDAR velocimeter for SHM

P Guéguen1, M Valla2, B Augère2
and D Goular2
1ISTerre, Université Grenoble Alpes 
2ONERA


[173] In-service railway track condition monitoring by analysis of axle box accelerations for small to mid-size infrastructure operators

J C Groos, P Havrila and L Schubert
German Aerospace Center (DLR) – Institute of Flight Systems

[162] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION


17.15-18.30
18.30-21.00
Evening function – Available to all full-time delegates and delegates who booked the optional extra sightseeing tour at registration
Two-course meal with wine Room: London 9
Tour of London (departing from the side entrance of the hotel)

Click here to view the congress programme for Wednesday 14 June, click here to view the congress programme for Thursday 15 June or click here for the congress programme for Friday 16 June.

 


The British Institute of Non-Destructive Testing, Midsummer House, Riverside Way, Bedford Road, Northampton NN1 5NX, UK.
Tel: +44 (0)1604 438300; Fax: +44 (0)1604 438301; Email: wccm@bindt.org