Programme 12-13 June 2017

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

Monday 12 June
16.00 onwards Registration – Room: TBC
19.00-21.00 Welcome Buffet – Room: TBC

Tuesday 13 June
08.00 onwards Registration – Room: TBC
09.00 Opening Plenary Paper
Title: TBC
Author: TBC
Chair: TBC
Room: TBC

Tea and Coffee Break – Room: TBC
  Session 1A – Electrical
Chair: Professor L Swędrowski
Room: TBC
Session 1B – Data-driven prognostics
Chair: TBC
Room: TBC
Session 1C – Trained structures and statistical methods in condition monitoring
Chair: Professor L Kuravsky
Room: TBC
Session 1D – Condition monitoring methods and technologies – Infrared thermography
Chair: Professor T Hope
Room: TBC
Session 1E – Condition monitoring methods and technologies – Vibration
Chair: TBC
Room: TBC
Session 1F – Signal processing: Identification, fault diagnosis and reliability for complex system monitoring
Chair: Dr N Martin
Room: TBC
10.00Condition monitoring of induction motor bearings

L Swedrowski
Gdansk University of Technology

The diagnosis and prognosis of analogue and digital electronics using biologically inspired neural networks and artificial intelligence

B D McCartney
MBDA Missile Systems, UK

Applied multi-agent system to study behaviour of operators of complex technical systems

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

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

Y Yu
China Special Equipment Inspection and Research Institute, Beijing, China

Condition monitoring programme for Argentinian research reactors based on vibration measurement

F G Orge
Comisión Nacional de Energía Atómica – Centro Atomico Constituyentes

Rotating machine speed estimation using vibration statistical approach

M Eltabach

10.20Condition monitoring of superconducting magnets

L Swedrowski
Gdansk University of Technology

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

Sulzer Dowding & Mills
On the approach to adaptive psychological testing of CM personnel

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

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

D Juhaszova and M Lipsett
University of Alberta

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

P Barrowclough
GE Oil & Gas – Bently Nevada

A telemetry monitoring system using the one-class SVM method

J-Y Tourneret
University of Toulouse

Deeper insight into railway switch condition nowcasting

B Dutschk
German Aerospace Center
On the approach to synthesis of Markov models for condition monitoring

S N Baranov
Russian Aviation Co

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

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

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

Detection of incipient stator winding faults in induction machines through electrical unbalance monitoring

P Granjon and G Cablea
Université Grenoble Alpes and CNRS, GIPSA-lab

Tea and Coffee Break – Room: TBC
11.30Early detection of inter-turn stator winding short of an Induction motor using an online frequency response method

K Y See
Sengkang East Avenue, Singapore

Advanced condition monitoring of electric submersible pumps (ESPs)

F J Quail
Aramco Overseas Company UK Ltd

Training of NDT personnel in the field of condition monitoring and technical diagnostics based on the metal magnetic memory method

Anatoly Dubov Energodiagnostika Co Ltd
Influence of instrument channel uncertainties on monitoring systems

P Crubellier
Comisión Nacional de Energía Atómica

Wind turbine gearbox fault prediction algorithm based on feature subspace

Pan Yubin
Nanjing University of Technology

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
1Université de Toulouse
2Leroy Somer

11.50Turbine generator stator winding temperature monitoring based on KDE-PCA model

L Jun1 and W Xin2
1Shanghai Electric Group Co Ltd, Shanghai, 200061, China
2Xi'an Jiaotong University

Data-driven prognostics

M von Plate, CEO
Cassantec AG

On the problem of abrupt change detection in diagnostic symptom time histories

T Gałka
Institute of Power Engineering, Poland

Monitoring gearbox oil viscosity by means of motor current signal analysis

P V Vuuren
North-West University, South Africa

A wireless system for conducting remote vibration monitoring using a remotely-operated deployment robot

M Lipsett
University of Alberta

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

I Khelf1,2, J L Gomez1,2,
A Bourdon1, H Andre3,
L Alloin2 and D Remond2
1Université de Lyon
2Engie Green, France
3LASPI, Université de Lyon

THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION Criteria for safety and monitoring of the technical condition of powerful turbine units with the use of static and dynamic forces in the shafting supports

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

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

D Bacioiu, G Melton and M Papaelias
University of Birmingham

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

M Lipsett and C Ying
University of Alberta
Title: TBC
Lunch – Room: TBC

Session 2A – Digital edge of condition monitoring
Chair: Professor T-H Gan
Room: TBC
Session 2B – TBC
Chair: Professor V Kostyukov
Room: TBC
Session 2C – Trained structures and statistical methods in condition monitoring
Chair: Professor L Kuravsky
Room: TBC
Session 2D – Railways
Chair: Dr M Papaelias
Room: TBC
Session 2E – Condition monitoring methods and technologies – Vibration
Chair: TBC
Room: TBC
Session 2F – Condition monitoring methods and technologies – Signal processing
Chair: TBC
Room: TBC
13.45Ultrasonic probe using advanced piezoelectric single crystal gallium orthophosphate for NDT and SHM at 580°C

M Kostan1, A Mohimi2,
C Nageswaran2, T–H Gan1,2 L Wrobel1, J Kanfoud1 and C Selcuk1
1Brunel University
2TWI Ltd

Improving reliability of vibration spectrum identification without increasing sampling rate using spectral interpolation algorithm

V N Kostyukov and S N Boychenko

Balancing of shafting of test rig using shaft displacement sensors

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

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

Study on the methods for lessening errors due to probe position shift in blade-tip timing measurement

M Pan, F Guan and Y Yang
National University of Defense Technology
Measurement of rotor forces acting on a rotor with use of magnetic bearings

K Kalista
NTIS - New Technologies for the Information Society – Cybernetics

Modelling and measurement of guided wave propagation in denso tape-coated pipes

W Duan1, M Deere2, P Mudge2, J Kanfoud1 and T-H Gan1,2
1Brunel University
2TWI Ltd, Cambridge
Title: TBC
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
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
Gearbox fault feature extraction based on sparse decomposition under non-stationary condition

Y Li and K Ding
School of Mechanical and Automotive Engineering

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
Digital vibration monitoring and risk analysis system for process piping

A Angulo
Real-time vibration monitoring of reciprocating machinery

V Kostyukov and A I Kumenko

Impact of static compliance of support and non-linearity of oil film on shafting alignments during monitoring of supports

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

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

P Vallely1, 2 and M Papaelias1
1University of Birmingham
2Network Rail Infrastructure Limited
Multi-mode blade vibration monitoring by blade tip-timing method based on compressed sensing

H Xu, Z Chen, Y Yang and L Tao
National University of Defense Technology

Investigating the use of transfer function estimation as a means of fault detection in the health monitoring of conveyor systems

O Freeman Gebler1,2, B Hicks1, A Harrison1 and M Barker3
1University of Bristol
2Stirling Dynamics
Tea and Coffee Break – Room: TBC
Investigation of 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
2TWI Ltd

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

P Hu1, H Wang1, G Tian1,2,
P Wang1 and R Guo2
1Nanjing University
2Newcastle University

Condition monitoring of a mechanical indexing system with artificial neural networks

M Tiboni and C Remino
Università degli Studi di Brescia, Italy

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

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

A Villanueva-Marcocchio1, B Jones2 and C Luna-Ortiz3
1Student Member
3University of Sheffield

A semi-supervised SVDD-based fault detection method for rolling element bearings

K C Gryllias, S Moschini and P-J Vandenbrande
KU Leuven, Department of Mechanical Engineering

Non-intrusive techniques for identifying the condition of high-voltage switchgear and cables

J Butler
EA Technology Ltd

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 Marquez2, 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
Implementation of a null space anomaly detection method on rolling element bearings

E Zugasti, U Leturiondo and O Salgado
IK4-Ikerlan Technology Research Centre, Katholieke Universiteit
Extraction of weak transient fault based on adaptive window merging for rolling bearing fault diagnosis

W Guo
University of Electronic Science and Technology of China, Qingshuihe Campus, School of Mechatronics Engineering

Operational safety assessment research of rail system

Y Qin
Beijing Jiaotong University

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

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

Multi-sensory data fusion for real-time welding defects 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

Evening Function: TBC

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.


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