Programme 14 June 2017

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



Wednesday 14 June
08.00 onwards Registration – Room: TBC
09.00 Plenary [174]
Title: TBC
Author: TBC
Chair: TBC
Room: TBC

09.30-09.45
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 – Acoustic emission
Chair: Professor I Razuvaev
Room: TBC
Session 3F – NDT
Chair: TBC
Room: TBC
Session 3G – Signal processing
Chair: Dr M Papaelias
Room: TBC
09.45-10.05[175] 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

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

H Powrie, L Wang and R Wood
University of Southampton

[177] Steel grade specific stress predictions to support roller leveller maintenance

R-P Nikula and K Karioja
University of Oulu

[178] Monitoring of bearing damage based on joint exploitation of the current signals and the instantaneous angular speed signals

A Bouzndag, M E Badaoui and S E Hani
University of Lyon

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

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

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

P Harper
Tribosonics Ltd


[181] 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

10.05-10.25[182] Vibration analysis of double cardan joints with needle bearing faults

M Battat
Ben-Gurion University of the Negev

[183] Condition monitoring of PTFE composite material bearing through the correlation between lubricant condition and wear simulation

K Yang and Y Gao
Reliability Engineering Institute, School of Energy and Power Engineering, Wuhan University of Technology
[184] Crusher wear monitoring in IIoT framework

A Koistinen, J Laurila and E Juuso
University of Oulu

[185] Integrated binocular vision sensor fusion for conveyor belt rupture monitoring

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

[186] AE source location at industrial structures monitoring

A B Samokhvalov
DIAPAC Ltd

[187] Ultrasonic measurement of roller load and lubricant film thickness in a wind turbine high-speed shaft bearing in the field

G Nicholas and R Dwyer-Joyce
The Leonardo Centre for Tribology, University of Sheffield
[188] Indicative bearing fault analysis of wind turbine generator bearings using tower vibration

E Mollasalehi
University of Calgary
10.25-10.45[189] Validation of signal processing algorithm for distributed and local faults separation in gears

N Koren, I Dadon and J Bortman
Pearlstone Center for Aeronautical Engineering Studies and Laboratory for Mechanical Health Monitoring, Department of Mechanical Engineering, Ben-Gurion University of the Negev

[190] Early failure detection for bearings in electrical environments

M Zuercher1  and K Esmaeili2
1Process Machinery and System Engineering, Germany
2
University of Southampton
[191] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[192] Security monitoring system development for the large-scale portal crane

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

[193] Application of the acoustic emission in integrated structural health monitoring systems. Problems, solutions and results

I Razuvaev
Alcor Corp


[194] Using ultrasound to improve lubrication practices

C Hallum 
UE Systems UK & Ireland

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

T Schoenfeld and M Bartscher
Physikalisch-Technische 
Bundesanstalt, Germany

10.45-11.15 
Tea, Coffee and Exhibition – Room: TBC
11.15-11.35[196] Influences of clearances in gear systems on signal vibration

I Dadon
Ben-Gurion University of the Negev

[197] 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

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

E K Juuso
University of Oulu

[199] Condition indicators for transformers in marine and offshore applications

S Bhandari
National University of Singapore

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

A Kamyshev, I  Razuvaev and E Suchkov
Alcor Corp

[201] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION[202] Initial steps towards an automated system for monitoring the TIG welding process

D Bacioiu, G Melton and M Papaelias 
University of Birmingham

11.35-11.55[203] High-definition gearbox monitoring

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



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

K Yang and X Zeng
Reliability Engineering Institute, School of Energy and Power Engineering, Wuhan University of Technology

[205] 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

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

K Ahsanullah
National University of Singapore 

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

F Vlasic, H Mahmoud, P Mazal and M Jana
Institute of Machine and Industrial Design, Brno University of Technology

[208] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[209] Welding quality monitoring using acoustic emission techniques

M Xing1
and P Mayorkinos2
1The Welding Institute – NSIRC
2University of Birmingham
11.55-12.15 
[210] 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

[211] 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
[212] Piston leak detection in an axial piston pump using the Vold-Kalman filter

D Bensaad, A Soualhi and F Guillet
Université de Lyon


[213] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[214] 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
[215] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[216] Effective automated analysis of acoustic emission signals
 
N Angelopoulos and M Papaelias
University of Birmingham

12.15-12.35 
THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
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
THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
Using vibration and acoustic emissions to monitor wear damage in a slurry pipeline

M Lipsett and C Ying
University of Alberta
THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
12.35-13.45
Lunch and Exhibition – Room: TBC
13.45-14.15
Plenary [217]
Title: TBC
Author: TBC
Chair: TBC
Room: TBC

14.15-14.30
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 – General acoustics
Chair: Professor I Razuvaev
Room: TBC
Session 4F – NDT
Chair: TBC
Room: TBC
Session 4G – Railways
Chair: Dr M Papaelias
Room: TBC
14.30-14.50[218] Identification of multi-faults in rotor-bearing system using spectral kurtosis and EEMD

X Gong, W Hongchao and W Du
School of Mechanical and Electronic Engineering, Zhengzhou University of Light Industry

[219] Monitoring the suitability of the fit of a lower-limb prosthetic socket using an artificial neural network in commonly encountered walking conditions

P Davenport
Bournemouth University

[220] Methods for automatic condition monitoring

K Karioja
University of Oulu

[221] Integrated generator rotor and stator winding condition monitoring

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

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

A Miseiko
Scientific and Technical Center LLC
[223] 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

[224] 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
14.50-15.10
[225] 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
[226] Condition monitoring of a compressor motor unit: an investigation of abnormal high-pitch noise

S Noroozi, A G A Rahman, S M Mohammad al-Attas and M Dupac
Bournemouth University

[227] 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
[228] 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 
[229] Low-speed bearing condition monitoring with acoustic emission techniques

F Alshammari
Cranfield University

[230] In-situ Inspection of composite isolators in 500 kV live overhead transmission lines by computer radiography 

A H Shinohara2, E J Silva Júnior2, J G V Xavier2, H Fujiwara2, H B D T Lott Neto1, P R R Britto1 and M A B Fontan1 
1STN – Sistema de Transmissão do Nordeste 

2UFPE – Universidade Federal de Pernambuco, Recife-PE 
[231] 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
15.10-15.30
[232] Rolling element bearing weak fault extraction based on wavelet envelope spectrum

L Hongkun
Dalian University of Technology
[233] In-line water quality monitoring system (IWQMS)

K Abuowda1, A Issa2 and H H Aly3
1Bournemouth University
2Al-Azhar University
3Staffordshire University
[234] Signal processing applications based on real and complex order derivatives

J Laurila and S Lahdelma
Mechatronics and Machine Diagnostics, Faculty of Technology,
University of Oulu
[235] 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
[236] Acoustic monitoring of 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
[237] Laboratory evaluation of reinforced concrete of foundations and of concrete towers of transmission lines of 230 kV by high energy computed radiography system with betatron

A H Shinohara1, R N Palha1, J F A G Wavrik1, H Fujiwara1, V S Barros2, H J Khoury2, P Regis3, P I Sá4 and E Garcez4
1UFPE, Department of Mechanical Engineering, Recife-PE, Brazil
2UFPE, Department of Nuclear Energy, Recife-PE, Brazil
3UFPE, Department of Civil Engineering, Recife-PE, Brazil
4CHESF, DODL, Recife-PE, Brazil
[238] 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
15.30-16.00
Tea, Coffee and Exhibition – Room: TBC
16.00-16.20
[239] 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

[240] Sensor technology development for use in condition monitoring

M Koohgilani1 and K Maynard2
1Bournemouth University
2UKTA

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

S Heyns and C Church University of Pretoria

[242] A strategy on selection of condition monitoring methods and techniques

T-H Pham, J  Windelberg, S Ferreiro and I Bravo
Deutsches Zentrum fur Luft und Raumfahrt eV (DLR) - Institut für Flugsystemtechnik, Sichere Systeme & Systems Engineering

[243] Integrated monitoring systems of a-line family

E Sergey
AED Monitoring


[244] Case study of failure of titanium impellers in hydrogen environment

M Dobrotvorskii
Budapeshtskaya
 


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

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

16.20-16.40
[246] Improving damage diagnosis of gearboxes run in non-stationary conditions by novel adaptation of spectral kurtosis and technology parameters

S Kolbe
Cranfield University

[247] Condition monitoring through the ages

M Koohgilani1 and K Maynard2
1Bournemouth University
2UKTA
[248] A case study of 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

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

M Lipsett
University of Alberta

[250] Acoustic vibration monitoring

T Murphy
Reliability Team Limited

[251] Advantages of scanning methods in NDT

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



[252] 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
16.40-17.00
[253] 
[254] An investigation of the effect of boundary conditions on the mechanical characteristics of an energy storing and returning prosthetic foot subjected to non-destructive testing

P Sewell    
Bournemouth University

[255] An adaptive thresholding segmentation method of 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
[256] Condition monitoring of railway overhead lines: correlation between geometrical parameters and performance parameters

M Carnevale and A Collina
Dipartimento di Meccanica, Politecnico di Milano, Italy

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

T Murphy
Reliability Team Limited

[258] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[259] Operational safety assessment research of rail system

Y Qin
Beijing Jiaotong University

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.

 


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