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 Paper
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 – General acoustics
Chair: TBC
Room: TBC
Session 3F – Signal processing
Chair: Dr M Papaelias
Room: TBC
09.45 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

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

Steel grade specific stress predictions to support roller leveller maintenance

R-P Nikula and K Karioja
University of Oulu

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

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

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

10.05Vibration analysis of double cardan joints with needle bearing faults

M Battat
Ben-Gurion University of the Negev

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
Crusher wear monitoring in IIoT framework

A Koistinen, J Laurila and E Juuso
University of Oulu

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

AE source location at industrial structures monitoring

A B Samokhvalov
DIAPAC Ltd

Indicative bearing fault analysis of wind turbine generator bearings using tower vibration

E Mollasalehi
University of Calgary
10.25Validation 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

Early failure detection for bearings in electrical environments

M Zuercher1  and K Esmaeili2
1Process Machinery and System Engineering, Germany
2
University of Southampton
Fault detection of bearing defects for ballscrew-based electromechanical actuators

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

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

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

I Razuvaev
Alcor Corp


T Schoenfeld and M Bartscher

Physikalisch-Technische Bundesanstalt, Germany

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

I Dadon
Ben-Gurion University of the Negev

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

Advanced data analysis in condition-based operation and maintenance

E K Juuso
University of Oulu

Condition indicators for transformers in marine and offshore applications

S Bhandari
National University of Singapore

Investigations of the AE signal propagation in vessels and tanks inoperation

A Kamyshev, I  Razuvaev and E Suchkov
Alcor Corp

THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

11.35THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
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

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

K Ahsanullah
National University of Singapore 

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

THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION


11.55
THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION Piston leak detection in an axial piston pump using the Vold-Kalman filter

D Bensaad, A Soualhi and F Guillet
Université de Lyon


Integrated monitoring systems of a-line family

E Sergey
AEDMonitoring

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
THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
12.15
Lunch and Exhibition – Room: TBC
13.30
Plenary Paper
Title: TBC
Author: TBC
Chair: TBC
Room: TBC

13.30-13.45
15-Minute Comfort Break

Session 4A – Signal processing
Chair: I Petrunin
Room: TBC
Session 4B – TBC
Chair: Professor S Noroozi
Room: TBC
Session 4C – TBC
Chair: TBC
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: TBC
Room: TBC
Session 4F – Condition monitoring methods and technologies
Chair: TBC
Room: TBC
13.45Identification 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

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

Methods for automatic condition monitoring

K Karioja
University of Oulu

Integrated generator rotor and stator winding condition monitoring

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

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

A Miseiko
Scientific and Technical Center LLC
Novel active ultrasonic reflectometry measurement technology for monitoring the condition and performance of hydrodynamic bearings

P Harper
Tribosonics Ltd

14.05
Detection and diagnosis of rail surface defects using signal and image processing techniques

A Ng
Singapore Tech
In-line water quality monitoring system (IWQMS)

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

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
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 
Low-speed bearing condition monitoring with acoustic emission techniques

F Alshammari
Cranfield University

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
14.25
Rolling element bearing weak fault extraction based on wavelet envelope spectrum

L Hongkun
Dalian University of Technology
Sensor technology development for use in condition monitoring

M Koohgilani1 and K Maynard2
1Bournemouth University
2UKTA

Signal processing applications based on real and complex order derivatives

J Laurila1 and S Lahdelma2
1Mechatronics and Machine Diagnostics, Faculty of Technology
University of Oulu
2Tirriäisentie 
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
Acoustic monitoring of blowout preventers using hidden markov models

M Stevens
GE Aviation Systems

Using ultrasound to improve lubrication practices

C Hallum
UE Systems UK & Ireland
14.45-15.15
Tea, Coffee and Exhibition – Room: TBC
15.15
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

Condition monitoring through the ages

M Koohgilani1 and K Maynard2
1Bournemouth University
2UKTA

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

S Heyns and C Church University of Pretoria

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

THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
Acoustic vibration monitoring

T Murphy
Reliability Team Limited

15.35
Improving damage diagnosis of gearboxes run in non-stationary conditions by novel adaptation of spectral kurtosis and technology parameters

S Kolbe
Cranfield University

MBVI systems: Why does the world really need yet another condition monitoring technique – and what should we do about it?

G Walker
Artesis LLP
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

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

M Lipsett
University of Alberta

THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION Using ultrasound to solve problems on assets that don’t rotate

T Murphy
Reliability Team Limited

15.55-16.15
Correlation-based condition monitoring of a roller chain

T Kärcher and G Schullerus
Energodiagnostika Co Ltd

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

A Sedaghati and F Honarvar
University of Technology, Iran

THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
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

THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION
THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

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