Programme 14 June 2017

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



Wednesday 14 June
08.00 onwards Registration – Room: ILEC Conference Centre Foyer
 Training workshops – Available to all full-time delegates, those who booked daily attendance to Wednesday 14 June 2017 and exhibitors
Room: Hyde Park (first floor)
08.30-09.00 Plenary Keynote Lecture [201] BINDT strategy and the NDT, CM and SHM community: 2017 update
C Sinclair, CEO of BINDT, UK
Chair: Professor L Gelman
Room: London 7 and 8

09.00-09.15
15-Minute Comfort Break
  Session 3A – Vibration diagnostics and prognostics
Chair: Dr R Klein
Room: London 7 and 8
Session 3B – Condition monitoring methods and technologies
Chair: Professor L Wang
Room: London 1
Session 3C – Signal and image processing, pattern recognition and finite element modelling for condition monitoring
Chair: Professor E Juuso
Room: London 2
Session 3D – Condition monitoring methods and technologies
Chair: Professor A Hope
Room: London 3
Session 3E – Acoustic monitoring methods and technologies
Chair: I Razuvaev
Room: London 4
Session 3F – Condition monitoring and NDT methods and technologies
Chair: Dr S Kolokolnikov
Room: London 5
Session 3G – Condition monitoring methods and technologies
Chair: Dr M Papaelias
Room: London 6
09.15-09.35[202] An analytical model for rolling element/spall interaction in bearing inner race

E Madar1, G Kogan1, J Bortman1 and R Klein2
1Ben-Gurion University of the Negev, Israel
2RK Diagnostics, Israel

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

H Powrie, L Wang and R Wood
University of Southampton

[107] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[205] Development of a safety monitoring system for large gantry cranes

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

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

I Razuvaev
Alcor Corp

[207] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION


[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 a double cardan shaft

M Battat1, R Klein1,2 and J Bortman1
1Ben-Gurion University of the Negev, Israel
2RK Diagnostics, Israel

[210] Condition monitoring of PTFE composite material bearings through 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] 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

[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
DIAPAC Ltd


[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
2CETIM, Senlis, France

[217] Early failure detection for bearings in electrical environments

M Zuercher1, V Heinzler1, E Schlücker1, K Esmaeili2, T J Harvey2, W Holweger2 and L Wang2
1Institute of Process Machinery and Systems Engineering, Germany
2
University of Southampton
[218] Crusher wear monitoring in the IoT framework

A Koistinen, J Laurila and E Juuso
University of Oulu

[356] Data analytics for condition monitoring on-board container ships

M Chai1, S Bhandari1, S K Panda1, D Wu2, X Qing Chen2 and W Ping Koh2
1National University of Singapore
2Singapore Technologies Marine Ltd

[220] Acoustic emission source location at industrial structures monitoring

A B Samokhvalov
DIAPAC Ltd



[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 Schönfeld and M Bartscher
Physikalisch-Technische 
Bundesanstalt, Germany

10.15-11.30
Exhibitors' Spotlight Session with Tea, Coffee and Exhibition – Room: London 9
11.30-13.30Lubrication Analysis Workshop
Steve Greenfield – Room: Hyde Park (first floor) 
11.30-11.50[223] Clearance influence on vibrations of gear systems

I Dadon1, N Koren1, J Bortman1, R Klein2 and M G Lipsett3
1Ben-Gurion University of the Negev, Israel
2RK Diagnostics, Israel
3University of Alberta, Canada

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

K Esmaeili1, M Zuercher2, L Wang1 , T J Harvey1 and W Holweger3
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] Correlation-based condition monitoring of a roller chain

T Kärcher and G Schullerus
Reutlingen University

[227] Investigation of AE signal propagation in vessels and tanks in operation

A Kamyshev, I  Razuvaev and E Suchkov
Alcor Corp

[228] Invited overview presentation

Training of shape memory effect for actuation and structural applications

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

C Larsson
SPM Instrument

[231] Design of miniature viscosity sensors based on a 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

P S Heyns, A Krüger and A J Oberholster
University of Pretoria

[175] Parametric optimization of TIG welding process parameters in low-alloy steel sheets

A I Butt, I Saleem and
K Nasim
National Engineering and Scientific Commission, Islamabad

[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, M Papaelias1, Z Huang1, G Melton2 and R Shaw2
1University of Birmingham
2TWI Ltd
12.10-12.30
[237] The novel higher-order technique and 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 S Weddell2 and N M White2
1National Centre for Advanced Tribology at Southampton (nCATS), University of Southampton
2Electronics and Computer Science, University of Southampton
[239] High-frequency transformer modelling using state space representation for FRA studies

A Abu-Siada
Curtin University of Technology, Australia

[374] Successful detection of CUI via electrical impedance spectroscopy on an industrial scale

G Diamond
Inspection Technologies Ltd

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

12.30-12.50
[244] Online real-time monitoring system through using adaptive angular-velocity VKF order tracking

T-C Yeh and M C Pan
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), University of Southampton
[246] Advanced prognostics based on intelligent data analysis

E K Juuso
University of Oulu

PLEASE NOTE THE BELOW PAPER HAS BEEN ADDED TO THE PROGRAMME

[176]
Decarburisation in low carbon alloy steels and optimisation of heat treatment parameters


A Butt, I Saleem and K Naseem
National Engineering and Scientific Commission, Islamabad


[248] Preliminary investigation of slurry pipe local motion due to particles near the pipe wall

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

P Holstein and C Probst
SONOTEC


12.50-14.00
Lunch and Exhibition – Room: London 9 and ILEC Conference Centre Foyer
14.00-14.30
Plenary Keynote Lecture [251] The role of computational science and engineering in condition monitoring
Professor D Drikakis
Chair: Professor L Gelman
Room: London 7 and 8

14.30-14.45
15-Minute Comfort Break
14.30-16.30
Vibration Analysis Workshop
Dean Whittle – Room: Hyde Park (first floor) 

Session 4A – Condition monitoring methods and technologies
Chair: I Petrunin
Room: London 7 and 8
Session 4B – Condition monitoring methods and technologies
Chair: Professor S Noroozi
Room: London 1
Session 4C – Condition monitoring methods and technologies
Chairs: Professor S Lahdelma and K Karioja
Room: London 2
Session 4D – Condition monitoring methods and technologies monitoring
Chair: Professor M Lipsett
Room: London 3
Session 4E – Condition monitoring methods and technologies – Acoustic emission
Chair: I Razuvaev
Room: London 4
Session 4F – Structural health monitoring
Chair: Professor E Hristoforou
Room: London 5
Session 4G – Condition monitoring methods and technologies
Chair: Dr M Papaelias
Room: London 6
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 an elastic Ossur ESR 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 the technical condition of equipment in the process of RBI

A Miseiko
Aegis Scientific and Technical Center LLC

PLEASE NOTE THE BELOW PAPER HAS NOW BEEN CANCELLED

[257] 
Invited overview presentation

Stress tensor distribution monitoring in ferromagnetic steels

P Vourna1, A Ktena2 and Ε Hristoforou1
1Laboratory of Electronic Sensors, National Technical University of Athens
2Department of Electrical Engineering, Technological Educational Institute (TEI) of Sterea Ellada, Greece

[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
15.05-15.25
[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

[271] In-situ inspection of composite isolators in 500 kV live overhead transmission lines by computed 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
[265] Wayside detection of axle bearing faults in rolling stock through correlation signal processing

Z Huang1, M Papaelias1 and Z Q Lang2
1University of Birmingham
2University of Sheffield
15.25-15.45
[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
1ZF TRW
2University of Modena and Reggio Emilia

Presented by A Zippo

PLEASE NOTE THE BELOW PAPER HAS NOW BEEN CANCELLED

[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] Investigating the diagnostic capabilities of monitored system
parameters to support improvements in conveyor operation and
maintenance

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
[264] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[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
15.45-16.15
Tea, Coffee and Exhibition – Room: London 9 and ILEC Conference Centre Foyer
16.15-16.35
[273] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[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

P S Heyns and C B Church
University of Pretoria


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

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

[277] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[278] Evaluation of reinforced concrete of foundations and concrete towers of transmission lines 230 kV 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

16.35-16.55
[280] Improving damage diagnosis of gearboxes run in non-stationary conditions by novel adaptation of spectral kurtosis and technology parameters

L Gelman and S Kolbe
Cranfield University

PLEASE NOTE THIS PAPER HAS NOW BEEN CANCELLED

[281] 
Sensor technology development for use in condition monitoring

M Koohgilani1 and K Maynard2
1Bournemouth University
2UKTA
[282] A case study of image data processing in automated ultrasonic testing-based aerospace composites inspection

G Feng1, J Sun1, A Y B Chong1, J Kanfoud1, T-H Gan1, M Kimball2, M Al Rashed2, L M Vega2, A Garcia2 and G S Virk2
1Brunel Innovation Centre, Cambridge
2Innovative Technology and Science Limited, Cambridge

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

M Lipsett
University of Alberta, Canada

[284] Acoustic vibration monitoring

T Murphy
Reliability Team Limited

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

M Dobrotvorskii
CJSC NPO Lencor


[286] Remote condition monitoring of the 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
16.55-17.15
[287] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[288] Condition monitoring through the ages

M Koohgilani
Bournemouth University

[289] 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
[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 do not 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 the rail system

Y Qin
Beijing Jiaotong University
17.15-17.35
[294] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[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

[296] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[297] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[298] Monitoring of the injection moulding process of polymers with acoustic emission sensors

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

[299] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
[300] Application of AE technology in continuous monitoring of pipelines of power units operating at high temperatures

B E Paton, L M Lobanov, A Ya Nedoseka,
S A Nedoseka,
O S Milenin and
E O Paton
Electric Welding Institute of the NAS of Ukraine

17.35-18.35
ISCM Annual General Meeting – Room: Hyde Park (first floor)

Free evening for delegates to arrange their own activities (no evening meal will be included in today's programme)

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