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CM2016 / MFPT2016 CONFERENCE PROGRAMME Wi-Fi is available throughout the hotel and is complimentary. Guests should select the internet and enter an email address and it will log you on free of charge

Sunday 9 October ISCM MANAGEMENT COMMITTEE MEETING – Room: Evolution – 19.00 – 21.00

16.00-19.00 Registration – Room: Le Forum

Monday 10 October 08.00 Registration – Room: Le Forum

Tea, Coffee and Exhibition – Room: Le Forum 09.00 Opening ceremony – Chair: Professor L Gelman

Room: Amphitheatre 09.20 Plenary Keynote Lecture –

[101] Condition monitoring and fault diagnostics of wind turbines Professor F Chu, China Chair: Professor L Gelman Room: Amphitheatre

09.50- 10.20

Tea, Coffee and Exhibition – Room: Le Forum

1A – Room: Amphitheatre 1B – Room: Decouverte 3 1C – Room: Decouverte 4 1D – Room: Intuition Signal processing: Identification, fault diagnosis and reliability for complex system monitoring 1 Chair: Dr N Martin

Trained structures and statistical methods in condition monitoring Chair: Professor L Kuravsky

Condition monitoring of industrial applications Chair: Dr S Soua

Advanced signal processing and diagnostics in condition monitoring Chair: Dr E Juuso

10.20 [102] Gear fault detection using the geometric properties of electrical signals in three-phase induction motor-based systems M Frini, A Soualhi, M E Badaoui and G Marrakchi Université de Lyon

[103] Assessment of flight crew proficiency using integrated diagnostic indicators L S Kuravsky, P A Marmalyuk and G A Yuryev Moscow State University of Psychology and Education

[104] Fuel tank leakage detection based on acoustic emission S Tavakoli1, T-H Gan1, C Selcuk1, C Beysel2 and Ș T Karasarlioğlu2 1Brunel University 2Floteks Plastik Inc Co S Malo Peces will present

[105] Rod mill liner monitoring using cumulative stress A Koistinen, J Laurila and E Juuso University of Oulu

10.40 [106] Hybrid parametric-non-parametric models for lifespan modelling of insulation materials F Salameh, A Picot, P Maussion and M Chabert University of Toulouse

[107] On the question of turbine fluid-flow system lifetime prognosis T Galka Institute of Power Engineering

[108] Ultrasonic guided wave propogation analysis under different load tension levels in multi-wire cables S Malo Peces, M Livadas, C Selcuk, T-H Gan and C Mares Brunel University  

[109] Signal upsampling in machine diagnostics – an experimental approach K Karioja and J Laurila University of Oulu

11.00 [110] New analysis tools for the diagnostic of gear systems F Combet, J-L Vasseline and X Thomas DYNAE

[111] The concept of an adaptive trainer for CM personnel L S Kuravsky, A A Margolis, P A Marmalyuk, A S Panfilova, G A Yuryev and P N Dumin Moscow State University of Psychology and Education

[112] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[113] Roller bearing fault detection using real-order derivatives and cyclostationarity K Karioja1, R P Nikula1, C Niedringhaus2, C Küch2 and R Baltes2 1University of Oulu 2RWTH Aachen University

11.20-11.30

10-Minute Comfort Break

11.30 [114] Bearing fault monitoring in electrical rotating machines through three-phase electrical signal analysis G Cablea, P Granjon and C Bérengeur

Université Grenoble Alpes and CNRS, GIPSA-lab

[115] On the rational design of fuel assemblies for reactor facilities V D Sizarev and A K Nametkin

Joint Stock Company

[120] VARA: Vibration monitoring and risk analysis system for the avoidance of vibration induced fatigue in process pipework Á Angulo TWI Ltd

[117] Intelligent indicators for integrating condition monitoring and control E K Juuso University of Oulu

11.50 [118] AStrion assets for the detection of a main bearing failure in an onshore wind turbine

X Laval2,3, G Song2,3, Z-Y Li2,3, P Bellemain2,3, M Lefray2,3, N Martin2,3, A Lebranchu1,2,3 and C Mailhes4 1Valemo 2Université Grenoble Alpes 3 CNRS, GIPSA-lab 4University of Toulouse

[119] Relative vibration full spectra and orbits in compressor condition monitoring F Balitsky 1,2 and A Sokolova1

1Federal Budget-Funded Research Institute for Machine Science named after A A Blagonravov of Russian Academy of Sciences (IMASH RAN), Moscow 2Scientific Education Center Kachestvo, Moscow

[124] Infrared thermography technology – past, present and future T Clausing Drysdale & Associates Inc, USA

[121] Tuning of physical models with the data-driven models for hybrid prognosis M Mishra Luleå University of Technology

12.10 [122] Order tracking using the Kalman estimator and Taylor series approximation A Assoumane, C Capdessus, E Sekko and P Ravier

PRISME Laboratory

[123] Hidden Markov models in condition monitoring S N Baranov Russian Aviation Co

[116] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[125] Applications of condition monitoring to wire ropes using NDT on overhead cranes S Elliott and D Randall Interface Condition Monitoring Ltd

12.30- 13.30

Lunch and Exhibition – Room: Le Forum

13.30 Plenary Keynote Lecture – [126] Health monitoring of new generation aerospace Professor I Gray, Commander of the Most Excellent Order of the British Empire (UK) Chair: Professor L Gelman Room: Amphitheatre

2A – Room: Amphitheatre 2B – Room: Decouverte 3 2C – Room: Decouverte 4 Condition monitoring systems Chair: Professor V Kostyukov

Vibration condition monitoring Chair: Dr S Ganeriwala

Condition monitoring for machinery and processes Chair: TBC

14.00 [127] Assessment of failure probability and operational risks of process plants according to the data of condition monitoring systems V N Kostyukov, A V Kostyukov and S N Boychenko Dynamics SPC

[128] Condition monitoring of gears using uncertainty techniques S A Aye and P S Heyns University of Pretoria

[129] Online identification of a hard turning process – surface finishing and geometric accuracy A Jhinaoui A*STAR – ARTC

14.20 [130] Formation of diagnostic signs vector on the basis of a characteristic function of vibroacoustic signal V N Kostyukov, S I Kudryavtseva, A P Naumenko and S N Boychenko Dynamics SPC

[131] A rational approach for developing physics based model for vibration signature of shaft/coupling misalignment S Ganeriwala and N Sawalhi SpectraQuest Inc

[135] The benefits of CM in a nuclear environment M Brind STFC - ISIS

14.40 [133] Development of methodical support for turbine unit shaft defect and stress monitoring systems at thermal power stations and atomic power stations with application of shaft displacement sensors A I Kumenko, V N Kostyukov, N Y Kuzminykh and A V Timin Dynamics SPC

[134] Signal separation technique of vibration signal for detecting rolling element bearing faults in a gearbox S Ganeriwala and J Yang SpectraQuest Inc

[132] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

15.00 15.30

Tea, Coffee and Exhibition – Room: Le Forum

3A – Room: Amphitheatre 3B – Room: Decouverte 3 3C – Room: Decouverte 4 Maintenance and machinery simulation Chair: Professor V Kostyukov and Professor A Kumenko

Advanced signal processing for MCM and NDT Chair: Professor R Smid

Signal analysis and sensors Chair: Dr J Padiyar

15.30 Specialised Keynote Presentation [136] Strategising condition monitoring in industry for ‘zero failure’ of the assets V B Tripathi Head of Reliability, QP, Dukhan, Quatar

[137] Relative shaft vibration calibration technique for blade monitoring J Jakl1, J Liska1, J Strnad1 and Z Kubin2

1University of West Bohemia, Pilsen and NTIS – European Centre of Excellence 2Doosan Skoda Power

[138] An improved empirical wavelet transform study based on wind turbine condition monitoring signals P Shi1, W Yang1, P McKeever2, W Tian1, H Lee1 and C Ng2 1Newcastle University 2Offshore Renewable Energy Catapult

15.50 [139] Mathematical and physical simulation of diagnostics problem on the test rotor stand A I Kumenko, V N Kostyukov, I A Suminov and N Y Kuzminykh Dynamics SPC

[140] Turbine blades state monitoring based on advanced order analysis V Vasicek, J Liska and J Jakl University of West Bohemia, Pilsen

[144] Enabling accurate condition monitoring with embedded nanoparticle sensing J Blanche1, D Flynn1, L Seghizzi4, H Lewis2, D Bucknall5, V Stone6 and R Cheung3 1Institute of Sensors, Signals and Systems, Heriot-Watt University 2Institute of Petroleum Engineering, Heriot-Watt University 3Scottish Microelectronics Centre, University of Edinburgh 4Politecnico di Milano 5Institute of Chemical Sciences, Heriot-Watt University 6Institute of Biological Chemistry, Heriot-Watt University

16.10

[142] Rubbing vibration behaviour between rotors and compliant-segmented stators M Behzad and M Alvandi Sharif University of Technology

[143] Reliability and availability increasing by using the reliability-centered maintenance method in gas turbine generators (case study) S Shasfand1, S M Seyed Hosseini2 and K Shahanaghi2 1Tabriz Petrochemical Company, Iran 2Iran University of Science and Technolog

[147] Test results for a capacitance-based corrosion sensor H K Twigg and M Molinari Southampton Solent University

16.30- 16.50

[145] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[146] Bearing spall size quantification based on geometric interpretation of vibration envelope energy M A A Ismail1 and N Sawalhi2

1DLR (German Aerospace Center), 2Prince Mohammad Bin Fahd University

[141] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

18.00

Evening event – Meet for dinner in the hotel restaurant at 17.00 followed by departure in groups of 20 to alight the metro to Concorde Square to meet the guide for a walking tour of various sights including the Eiffel Tower

Tuesday 11 October 08.00 Registration – Room: Le Forum

Tea, Coffee and Exhibition – Room: Le Forum 08.45 Plenary Keynote Lecture – [201] Novel finite element modelling for condition monitoring of gearboxes

Professor F Pellicano, Italy Chair: Professor L Gelman Room: Amphitheatre

09.15

Keynote – [202] BINDT’s strategy for serving the CM, NDT and SHM community: A 2016 update C Sinclair, CEO of BINDT Chair: Professor L Gelman Room: Amphitheatre

09.30 Exhibition Spotlight Session – Room: Amphitheatre 4A – Room: Amphitheatre 4B – Room: Decouverte 3 4C – Room: Decouverte 4 4D – Room: Intuition

NDT and CM for composite applications Chair: Dr K G Dassios

Advanced diagnostics and prognostics methods Chair: Dr R Klein

Condition monitoring of power plants Chair: Professor A Lucifredi

Modelling and testing of gearboxes Chair: Professor F Pellicano

09.45 [215] Non-destructive characterisation of the mechanical and fracture behaviour of ceramic matrix composites K G Dassios1, E Z Kordatos2, D G Aggelis3, D A Exarchos1 and T E Matikas1

1University of Ioannina 2Sheffield Hallam University 3Vrije Universiteit Brussel

[204] Morphing of spectrograms for vibration source identification in aircraft engines J Griffaton Safran Aircraft Engines

[205] Advanced CBM techniques for HPP equipment health check and failure root analysis A Bongiovì2, M Salvini1, I Ratotti1 and M Antoine2

1Enel Green Power 2ABB Power Generation

[206] Modelling gear pitting response and dynamic characteristics M Barbieri1, F Pellicano1, M Strozzi2 and A Zippo1 1University of Modena and Reggio Emilia 2University of Ferrara

10.05 [219] Advanced acoustic techniques for damage characterisation and real-time health monitoring of aerospace materials and structures I K Tragazikis, D A Exarchos, K G Dassios and T E Matikas University of Ioannina

[208] 2D spall generation simulation in a rolling element bearing

D Gazizulin1, R Klein2 and J Bortman1

1Ben-Gurion University 2R K Diagnostics

[209]

THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[210] Pitting and stress analysis of gears: a numerical and experimental study M Barbieri1, F Pellicano1, M Strozzi2 and A Zippo1 1University of Modena and Reggio Emilia 2University of Ferrara

10.25 [223] Condition monitoring of PTFE composite material bearing through the correlation between lubricant condition and wear simulation Z Hui1, T Guan1, K Yang2 and Y Gao2 1China Marine Development and Research Centre, Beijing 2Wuhan University of Technology

[212] Compressor valves fault detection using vibration cyclostationarity

M Eltabach and T Jung CETIM

[213] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[214] Dynamic imbalance of high-speed planetary gears M Barbieri1, A Masoumi3, F Pellicano1, M Strozzi2 and A Zippo1 1University of Modena and Reggio Emilia 2University of Ferrara 3University of Bologna

10.45 Tea, Coffee and Exhibition – Room: Le Forum Meeting of the Condition Monitoring WG of ECNDT (WG6) – Room: Evolution

4A – Room: Amphitheatre 4B – Room: Decouverte 3 4C – Room: Decouverte 4 4D – Room: Intuition Machinery diagnostics

Chair: Dr I Petrunin

Advanced diagnostics and prognostics methods continued Chair: Dr R Klein

Modelling and CM for machinery Chair: Professor A Lucifredi

Modelling and testing of gearboxes Chair: Professor F Pellicano

12.00 [203] Analysis of geomaterials using frequency-modulated continuous waves J Blanche1, D Flynn1, H Lewis2, G Couples2 and R Cheung3 1Institute of Sensors, Signals and Systems, Heriot-Watt University 2Institute of Petroleum Engineering, Heriot-Watt University 3Scottish Microelectronics Centre, University of Edinburgh

[216] Analysis of the rolling element bearing data set of the Centre for Intelligent Maintenance Systems at The University of Cincinnati W Gousseau1,2, J Antoni1, F Girardin1 and J Griffaton2

1LVA - INSA Lyon 2Snecma

[217] Finite element modelling of plate structure for loose-part mass estimation in nuclear power plant S I Moon, S I Lee, T Kang, J H Lee, S W Han and J H Park Korea Atomic Energy Research Institute

[218]  Active vibration control of a composite plate A Zippo1, M Barbieri1, F Pellicano1 and M Strozzi2

1University of Modena and Reggio Emilia 2University of Ferrara

12.20 [247] Vibration content and sideband modulations of a planetary gearbox with three and four planets N Sawalhi Prince Mohammad Bin Fahd University

[220] Estimation of spall size in bearing inner race based on vibration analysis

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

[221] Flow rate optimisation for hydropower plants A Bongiovì2, V Santamaria3, F Vigato4, L Braggio1 and M Barabino2

1Consorzio Canale Camuzzoni 2ABB Power Generation 3University of Geneva 4Azienda Generale Servizi Municipalizzati

[222] New higher order spectra for wind turbines shaft misalignment diagnosis M Kiełczyński Msc and L Gelman Cranfield University

12.40 [226] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[224] Steps toward fault prognostics of gears N Koren1, I Dadon1, J Bortman1 and R Klein 1Ben-Gurion University of the Negev 2R K Diagnostics

13.00- 13.55

Lunch and Exhibition – Room: Le Forum

13.15-14.00

Meeting of The International Scientific Committee (Working lunch by invitation) – Room: Evolution

14.00- 14.40

International Society for Condition Monitoring Annual General Meeting – Room: Evolution

14.45

Plenary Keynote Lecture – [227] Prognostic approaches for estimation of the remaining useful life of structures and machinery Professor T Loutas and Professor V Kostopoulos, Greece Chair: Professor L Gelman Room: Amphitheatre

5A – Room: Amphitheatre 5B – Room: Decouverte 3 5C – Room: Decouverte 4 5D – Room: Intuition Signal processing: Identification, fault diagnosis and reliability for complex system monitoring 2 Chair: Dr N Martin

Condition monitoring of bearings and gearboxes Chair: Professor L Swedrowski

Diagnostics and prognostics for assets Chair: Dr S Kirlangic

Advanced signal processing for MCM and NDT Chair: Professor R Smid

15.15 [228] Optimising the efficiency of a condition monitoring programme thanks to an expert system with a confidence level indication P Labeyrie and B Wascat ACOEM

[229] MCSA with normalised triple covariance as a bearings diagnostic indicator in an induction motor T Ciszewski, L Gelman and L Swędrowski Politechnika Gdanska

[230] Smart monitoring and diagnostics: New technologies and new challenges L Menozzi National Instruments Corporation (UK) Ltd Presented by B Simon National Instruments France

[231] A novel method for online 3D localisation of loose parts in a nuclear power plant cooling system S Künkel and J Liška Západočeská Univerzita

15.35 [240] Vibration condition monitoring in a paper industrial plant: SUPREME Project M Eltabach1, S Sieg-Zieba1, G Song2, Z-Y Li2, P Bellemain2 and N Martin2 1CETIM 2CNRS, GIPSA-lab

[233] Novel adaptation of the spectral kurtosis for diagnosis of gearboxes in non-stationary conditions L Gelman1, S Kolbe1, B Shaw1 and M Vaidhianathasamy2 1Cranfield University 2Newcastle University

[234] Models for roller chain condition monitoring T Kärcher and G Schullerus Reutlingen University

[235] Condition monitoring using Internet of Things (IoT) R Smid and O Hanus Czech Technical University, Prague

15.55 [243] Kurtosis analysis as cycle-ratio function in gear and bearing fault detection D Bensaad1,2, F Guillet1,2 A Soualhi1,2 and M E Badaoui1,2 1Université de Lyon 2Université de Saint-Etienne

[237] Vibration diagnosis of gearboxes by the wavelet bicoherence technology L Gelman1, K Solinski2, B Shaw1 and H Vaidhianathasamy3 1Cranfield University 2Meggitt SA 3Newcastle University

[238] Applying machine learning to predict asset health in hybrid maritime vessels W Tang, D Flynn and R Valentin Heriot-Watt University

[239] Time-frequency processing-based method for rotor/stator rub localisation A Bouberle, J Jakl and J Liska University of West Bohemia, Pilsen

16.15- 16.40

Tea, Coffee and Exhibition – Room: Le Forum

6A – Room: Amphitheatre 6B – Room: Decouverte 3 6C – Room: Decouverte 4 Signal processing: Identification, fault diagnosis and reliability for complex system monitoring 2 continued Chair: Dr N Martin

Condition monitoring of rotating machinery Chair: Dr L Zanotti

Prognostics and corrosion monitoring Chair: Mr S Kolbe

16.40 [207] THz Inspection: Advantages and disadvantages of using space THz instrumentation for condition monitoring tasks A Belitskaya1, A Baryshev1,2

and A Khudchenko3

1Dutch Terahertz Inspection Services 2The Kapteyn Astronomical Institute, University of Groningen 3NOVA Netherlands School for Astronomy, Groningen

[241] Diagnosis of incipient fault in gear by application of signal processing techniques on acoustic emission signal R Bihari Sharma and A Parey Indian Institute of Technology

[242] Corrosion management on new build offshore projects R Bottomley Lloyd's Register North America Inc

17.00 [246] HotSense®: a high-temperature ultrasonic condition monitoring platform T J Stevenson and T P Comyn Ionix Advanced Technologies Ltd

[244] Incipient characteristic frequency determination for centrifugal compressor blade crack based on principal component analysis and wavelet analysis H Changbo, L Hongkun and W Fengtao University of Technology, Dalian

[245] A prognostic methodology for wind turbine main bearings A Karikari-Boateng ORE Catapult – Innovation, Research and Development

17.20 [236] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[225] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[248] Dynamic simulation and experimental validation of misalignment vibratory response N Sawalhi and S Ganeriwala SpectraQuest Inc

19.30 20.00

Pre-dinner drinks – Room: Hotel Foyer Conference Dinner – Room: Hotel Restaurant

Wednesday 12 October 08.30 Registration – Room: Le Forum

Tea and Coffee – Room: Le Forum 09.00

Plenary Keynote [301] Automatic diagnostics of complex machinery Dr R Klein, Israel Chair: Professor L Gelman Room: Amphitheatre

7A – Room: Amphitheatre 7B – Room: Decouverte 3 7C – Room: Decouverte 4 Vibration analysis for condition monitoring Presented by the VA Working Group Chair: Professor A Hope

Wear debris analysis for condition monitoring Presented by the LA Working Group Chair: Mr S Greenfield

Condition monitoring and structural health monitoring of machinery and structures Chair: Professor L Gelman

09.30 [302] The rolling element bearing from cradle to grave – how to maximise its life through the application of the correct maintenance J Sykes AV Technology

[303] An introduction to oil debris monitoring technology, typically applied to turbo-machinery S Greenfield Eaton Aerospace

[304] Novel vibration flutter diagnosis for gas turbines by the spectral covariance L Gelman1, C Parrish1, I Petrunin1 and M Walters2 1Cranfield University 2Rolls-Royce

09.50 [306] Vibration analysis of journal bearings – What are orbit plots and centreline diagrams? D Whittle RMS Ltd

[307] Condition monitoring as part of a optimised maintenance strategy D Shorten Lloyds Register

[308] In-service inspection of structures using ultrasonic phased array and image enhancement by the higher order spectral techniques L Gelman and J Padiyar Cranfield University

10.10 [310] Update on ISO standards in condition monitoring and vibration S Mills Spectrum CBM Ltd

[311] THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION

[312] Novel higher order frequency response functions for structural health monitoring for civil engineering L Gelman and S Kirlangic Cranfield University

10.30- 11.00

Tea and Coffee – Room: Le Forum

11.00-11.30

Plenary Keynote Lecture – [314] Monitoring of engineered and natural systems using sensors (MENSUS) – an intergrated approach Associate Professor L Wang, Southampton University Chair: Professor A Hope Room: Amphitheatre

8A – Room: Amphitheatre 8B – Room: Decouverte 3 8C – Room: Decouverte 4 Condition monitoring of roller bearings and vibration analysis Chair: Professor A Hope

Acoustic emission for condition monitoring Presented by the AE Working Group Chair: Mr S Mills

Condition monitoring of machinery and structures Chair: Professor L Gelman

11.30 [326] A new approach: condition monitoring of roller bearings with high-frequency-impulse-measurement and other analogue sensor signals transformed via discrete fourier-analysis S Barteldes1, M Zuercher2, T Harvey3, L Wang3, E Schlücker2 and W Holweger4

1QASS 2Friedrich-Alexander Erlangen-Nürnberg University 3University of Southampton 4Schaeffler Technologies AG & Co KG, Germany

[316] Acoustic emission source location in complex structures: challenges and progress M Pearson, M Eaton, S Al-Jumaili, R Marks, R Pullin and K Holford Cardiff University

[321] The wavelet spectral kurtosis for early diagnosis of gearboxes: a novel comparative study L Gelman and H Nedunuri Cranfield University

11.50 [323] Detecting rolling element bearing defects D Whittle RMS Ltd

[320] The challenges of characterising acoustic emission sources in large-scale structures and current solutions M Eaton, S Al-Jumaili, D Crivelli, J McCrory, M Pearson, R Pullin and K Holford Cardiff University

[325] Online monitoring of fatigue crack propogation in industrial steel structure using the metal magnetic memory method A Dubov, A Dubov and S Kolokolnikov Energodiagnostika Co Ltd

12.10- 13.10

Panel session: Future directions in condition monitoring and structural health monitoring Room: Amphitheatre

13.15 Conference Closing – Room: Amphitheatre 13.30 Lunch – Room: Le Forum