Programme 12-13 June 2017

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

Monday 12 June
16.00 onwards Registration – Room: TBC
18.00-20.00 Welcome Buffet – Room: TBC
20.00-22.00 Meeting of the ISCM Management Committee – Room: TBC

Tuesday 13 June
08.00 onwards Registration – Room: TBC
08.45-09.15 Opening Ceremony – Professor L Gelman
09.15-09.45 Opening Plenary [101]
Title: TBC
Author: Professor R Randall
Chair: Professor L Gelman
Room: TBC

09.45-10.00 An introduction to Condition Monitoring and Diagnostic Technologies – Promotion of CM Book
Professor T Hope
Chair: Professor L Gelman
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
10.30-10.50[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 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 Yu
China Special Equipment Inspection and Research Institute, Beijing, China

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

P Barrowclough
GE Oil & Gas

[107] 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
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
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

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

[112] 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

[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
1Université de Toulouse 

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
[116] On the approach to synthesis of Markov models for condition monitoring

S N Baranov
Russian Aviation Co

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

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

[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

Tea and Coffee Break – Room: TBC
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

[122] On the problem of abrupt changes detecting in the time histories of diagnostic symptoms

T Gałka
Institute of Power Engineering, Poland

[123] Influence of instrument channel uncertainties on monitoring systems

P Crubellier
Comisión Nacional de Energía Atómica

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

M Lipsett
University of Alberta, USA

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

D Abboud1, M El Badaoui1,2,  S Becquerelle3 and M Lalmi3
1Safran Tech, France
2Université de Lyon, France
3Safran Transmission Systems

12.20-12.40[126] Turbine generator stator winding 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, CEO
Cassantec AG

Presented by M Zvyagina

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

A I Kumenko, A V Timin, R E Nikolay and Y Kuzminykh

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

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

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

W A Smith and R B Randall
University of New South Wales, Australia
[132] Fault detection of bearing defects for ballscrew-based electromechanical actuators

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

[133] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION [134] Hydroelastic oscillations fuel assembly in water and liquid metal coolant

V D Sizarev
Joint Stock Company NA
[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

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

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

Lunch – Room: TBC
14.00-14.30Plenary [138]
Title: TBC
Author: TBC
Chair: Professor L Gelman
Room: TBC

Session 2A – Monitoring of assets in critical environment
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 – TBC
Chair: Dr N Martin
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
14.30-14.50[139] Ultrasonic probe using advanced piezoelectric single crystal gallium orthophosphate for NDT and SHM at 580°C

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

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

V N Kostyukov and S N Boychenko

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

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

[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-Chirinos and A Bourdon
Université de Lyon

[143] 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, China

[144] Measurement of rotor forces acting on a rotor with use of magnetic bearings

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

[145] 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 London
2TWI Ltd, Cambridge
[146] Title: TBC
Author: TBC
[147] 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
[148] Automatic track and balance of wind turbine rotors

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

[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

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

A Angulo
[152] Real-time vibration monitoring of reciprocating machinery

V Kostyukov and A I Kumenko

[153] 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

[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] Multi-mode blade vibration monitoring by blade tip-timing method based on compress sensing

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

[156] 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
Tea and Coffee Break – Room: TBC
[157] 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 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 Govaert1
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
1Student member

[162] Extraction of weak transient fault based on adaptive window merging for rolling bearing fault diagnosis

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

[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 defect of fan and root cause analysis

H Fan and Z Xiang
SKF, China

[165] Diagnosing simultaneous faults using local regularity of vibration signals

J Nissilä and J Laurila
University of Oulu, Finland

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

I Khelf1,2, J L Gomez1,2, 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, Katholieke Universiteit
[168] Multi-sensory data fusion for real-time detection of welding defects: reviews and a case in which it was applied

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

[169] Predictive diagnosis system for machine faults based on vibration analysis

R Fayad and H Abou-Chakra
Beirut Arab University 

[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

[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 

[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

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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