Programme

Tuesday 7 to Thursday 9 June 2022
Radisson Hotel and Conference Centre, London Heathrow, UK

Sponsors

Monday 6 June 2022
16.00-19.00	Registration – Room: Aviator Foyer
19.00-21.00	Welcome Buffet – Room: Aviator Foyer Tea and Coffee – Room: Aviator Foyer

Tuesday 7 June 2022
08.00	Registration – Room: Aviator Foyer Tea and Coffee – Room: Aviator Foyer Exhibition – Room: Bleriot
09.00- 09.20	Opening ceremony: Welcome and introduction Chair: Professor L Gelman, University of Huddersfield, UK Room: Bleriot
09.20- 09.50	Plenary Paper [101]: Ignore condition monitoring systems at your peril Dr D Hickey, UK Chair: Professor L Gelman, University of Huddersfield, UK Room: Bleriot
09.50-10.45	Exhibition Spotlight Session 09.50-10.00 – RMS Ltd, UK 10.00-10.10 – Oceanscan Ltd, UK 10.10-10.20 – Skills Training UK Ltd, UK 10.20-10.30 – Sensonics Ltd, UK 10.30-10.35 – Hansford Sensors, UK 10.35-10.40 – PFE Ltd, UK Chair: D Whittle, RMS Ltd, UK Room: Bleriot
10.40-11.10	Tea and Coffee – Room: Aviator Foyer Exhibition – Room: Bleriot
	Session 1A – Vibration-based condition monitoring Chair: Professor R Serra Room: Johnson	Session 1B – Trained structures and statistical methods in condition monitoring Chair: Professor L Kuravsky Room: Armstrong
11.10-11.30	[103] Fatigue damage estimation under random vibration load: analytical model and experimental validation L Campello^1,2, R Serra¹, R Sesana² and C Delprete² ¹INSA Centre Val de Loire, France ²Politecnico di Torino, Italy	[104] The spectral analysis of qubit representations in analysing the oculometer activity of operators of complex technical systems L S Kuravsky Moscow State University of Psychology and Education, Russia Presented via webinar
11.30-11.50	[109] Effects of early dents progression on hybrid ball bearing surface S Barrada^1,2,3, R Serra^2,3 and C Chastagner² ¹SKF France ²Institut National des Sciences, France ³Laboratoire de Mécanique Gabriel Lamé - EA 7494, France	[107] The universal mathematical model of adaptive learning and tools for assessing its effectiveness in various applications L Kuravsky, D Pominov, G Yuryev, N Yuryeva, M Safronova, E Kulanin and S Antipova Moscow State University of Psychology and Education, Russia Presented via webinar
11.50-12.10		[110] Applied multi-agent system to study collaborative behaviour of condition monitoring experts during education process S I Popkov Moscow State University of Psychology and Education, Russia Presented via webinar
12.10-12.30		[113] On the experience of developing a mobile complex for recording the electrical activity of the brain on the meringue of dry electrode technology G Yuryev, L Kuravsky and N Yuryeva Moscow State University of Psychology and Education, Russia Presented via webinar
12.30-13.50	Lunch – Room: Aviator Foyer Exhibition – Room: Bleriot
12.50-13.50	International Scientific Advisory Committee Meeting (working lunch by invitation only) Room: Armstrong
13.50-14.20	Plenary Keynote Lecture [114]: Digital twins as condition monitoring enablers: the swan song approach Professor D Galar, Spain Chair: Professor L Gelman, University of Huddersfield, UK Room: Bleriot
14:20-14:30	CM Book Update Professor A Hope, UK *Chair: Professor L Gelman, University of Huddersfield, UK* Room: Bleriot
	Session 2A – New technologies for prognosis, diagnostics, monitoring, testing and modelling Chair: Professor F Pellican Room: Bleriot	Session 2B – Condition monitoring and diagnostics of machine components Chair: Dr J Liska Room: Johnson	Session 2C – Ultrasound/Acoustic emission Chair: Dr E Juuso Room: Armstrong
14.30-14.50	[115] Gear prognostics: an ISO-based predictive algorithm for lifetime estimation of operating gearboxes L Bergamini, A Zippo , G Iarriccio, M Molaie and F Pellicano Università degli Studi di Modena e Reggio Emilia, Italy	[116] Advanced turbine-generator torsional vibration evaluation method using Kalman filtering J Liska, J Jakl and S Kunkel University of West Bohemia in Pilsen, Czech Republic	[117] Acoustic emission characterisation of two pre-cracked specimens A Galvez^1,2, D Galar^1,2, A Alonso¹, B Errasti-Alcala¹, I Bienvenido³, P Ortego⁴ and E Juuso⁵ ¹TECNALIA, Spain ²Luleå University of Technology, Sweden ³ZEUKO, Spain ⁴University of the Basque Country (UPV/EHU), Spain ⁵University of Oulu, Finland
14.50-15.10	[118] Loaded and unloaded tooth contact analysis of spiral bevel gear in consideration of misalignments M Moslem, A Zippo, G Iarriccio, L Bergamini and F Pellicano Università degli Studi di Modena e Reggio Emilia, Italy Presented via webinar	[119] Localisation of the blade excitation using shaft vibration signal measurement V Vasicek, J Liska, J Jakl and J Strnad University of West Bohemia in Pilsen, Czech Republic	[120] Unified signal and data analysis for integration of condition monitoring and intelligent control E Juuso University of Oulu, Finland
15.10-15.30	[121] Active vibration control based on cost effective microcontroller A Zippo, F Pellicano and G Iarriccio Università degli Studi di Modena e Reggio Emilia, Italy	[122] Measurement of dynamic forces acting on a rotor supported by a magnetic bearing to identify the coefficients of seals K Kalista, J Liska and J Strnad University of West Bohemia in Pilsen, Czech Republic	[123] Not all defects rotate – using ultrasound in condition monitoring T Murphy Reliability Team Ltd, UK *Presented by P Price, CM Consultant, UK*
15.30-15.50	Tea and Coffee – Room: Avaiator Foyer Exhibition – Room: Bleriot
	Session 3A continued – New technologies for prognosis, diagnostics, monitoring, testing and modelling Chair: Professor F Pellicano Room: Bleriot	*Session 3B continued* – Condition monitoring and diagnostics of machine components Chair: Dr J Liska** Room: Johnson	Session 3C – Machine learning for smart systems Chair: Professor L Wang Room: Armstrong
15.50-16.10	[124] Effects of laser surface texturing on the dynamic performance of spur gears G Iarriccio, A Zippo, M Molaie, L Bergamini and F Pellicano Università degli Studi di Modena e Reggio Emilia, Italy Presented via webinar	[125] Blade tip timing monitoring of axial fans with variable blade angle J Jakl and J Liska University of West Bohemia in Pilsen, Czech Republic	[126] Integrated intelligent bearing systems (I²BS) for the ultra-high propulsion efficiency (UHPE) ground test demonstrator L Wang¹, N Grabham¹, K Esmaeili¹, T Harvey¹, A Weddell¹, N White¹, D Mouradian² and T Endres³ ¹University of Southampton, UK ²Safran Aircraft Engines, France ³Schaeffler Aerospace Germany, Germany
16.10-16.30	[127] Digital twins: neural networks for the implementation of digital twins of gearboxes A Zippo¹, L Bergamini¹, G D'Elia², F Pellicano¹, G Dalpiaz², G Larriccio¹ and M Molaie¹ ¹Università deli Studi di Modena e Reggio Emilia, Italy ²Università degli Studi di Ferrara, Italy	PLEASE NOTE THE BELOW PAPER HAS NOW BEEN CANCELLED [128] Anomoly detection based condition monitoring M Kas¹ and F Fomi-Wamba² ¹University of West Bohemia in Pilsen, Czech Republic ²Framatome GmbH, Germany	[129] A generalised machine learning model based on the multinomial logistic regression and frequency features for rolling bearing fault classification A Kiakojouri¹, Z Lu¹, P Mirring², H Powrie¹ and L Wang¹ ¹University of Southampton, UK ²Schaeffler Aerospace Germany, Germany ³GE Aviation, UK
16.30-16.50	Human/biological health monitoring Chair: Professor S Noroozi	[131] Identification of fan blades characteristics for condition monitoring purposes J Liska, J Jakl and R Kroft University of West Bohemia in Pilsen, Czech Republic	[132] Fibre bragging gratings (FBGs) for I²BS for the UHPE ground test demonstrator L Wang¹, C Holmes¹, N Grabham¹, T Harvey¹, A Weddell¹, N White¹, D Mouradian² and T Endres³ ¹University of Southampton, UK ²Safran Aircraft Engines, France ³Schaeffler Aerospace Germany, Germany
	[130] Towards better understanding the need for better joint force monitoring when balancing knee joint force during total knee replacements S Noroozi¹, Z Searle¹, S Al-Nasser¹ and A Harvey² ¹Bournemouth University, UK ²The Royal Bournemouth Hospital, UK
16.50-17.10	[133] Physiological signals monitoring in interaction with machines to address healthy aging R Haratian Bournemouth University, UK
17.10-17.30	[134] A review of balancing methods for total knee replacements S K Al-Nasser¹, S Noroozi¹, R Haratian¹ and A Harvey² ¹Bournemouth University, UK ²The Royal Bournemouth Hospital, UK
17.30 17.30	Conference close for the day Evening Event: A visit to the Battle of Britain Bunker tour and a two-course evening meal. Meet in the hotel foyer at 17.30 where the coach will depart at 17.45. A welcome drink will be served at the venue between 18.10-18.30 followed by a bunker tour between 18.30-19.30. The coach will depart at 19.30 where a two-course meal will be served at the hotel at 19.45. This is included in all full-time registrations. For part-time registrations, should you wish to attend, please contact the BINDT conference registration desk.

Wednesday 8 June 2022
08.00	Registration – Room: Aviator Foyer Tea and Coffee – Room: Aviator Foyer Exhibition – Room: Bleriot
09.00- 09.30	Plenary Keynote Lecture [228]: A novel approach to digital clone for turbofan engines Dr J Lacaille, France Chair: Professor L Gelman, University of Huddersfield, UK Room: Bleriot
	Session 4A – Oil and oil debris monitoring Chair: S Greenfield Room: Bleriot	Session 4B – Vibration monitoring and analysis Chair: S Mills Room: Johnson	Session 4C – Trained structures and statistical methods in condition monitoring Chair: Professor L Kuravsky Room: Armstrong
09.30-09.50	[202] Catalyst isolation on oxidation of turbine and hydraulic oils R Cutler Oil Analysis Laboratories, UK	[203] Visualisation of vibration for root cause analysis and rectification D Whittle RMS Ltd, UK	[210] A self-supervised LSTM network for cell temperature prediction in aluminium electrolysis reduction Y Lei and H R Karimi Politecnico di Milano, Italy Presented via webinar
09.50-10.10	[205] Using a modified FMECA tool to drive the development of machine condition learning within an AI-based asset maintenance management tool, using both known and unknown fault indicators D Shorten Optimain Ltd, UK	[313] The music of the machine – the importance of the audio signature for ultrasound condition monitoring P Price CM Consultant, UK	[314] A CNN-based explainable fault diagnosis model for gearboxes in rotating machinery D Yang¹, H R Karimi¹ and L Gelman² ¹Politecnico di Milano, Italy ²University of Huddersfield, UK Presented via webinar
10.10-10.30	[208] Advanced debris monitoring for next generation bearing materials and technologies, in high-power aircraft powerplant and rotorcraft transmissions J Zielinski and S Greenfield Eaton Aerospace, UK	[209] Industry 4.0 and its impact on condition monitoring programme strategy D Manning-Ohren Eriks, UK
10.30-11.00	Tea and Coffee – Room: Aviator Foyer Exhibition – Room: Bleriot
	Session 4A continued – Oil and oil debris monitoring Chair: S Greenfield Room: Bleriot	*Session 4B continued* – Vibration monitoring and analysis Chair: Professor A Hope** Room: Johnson	Session 4C – Drones Chair: Dr C Brett Room: Armstrong
11.00-11.20	[231] Oil condition monitoring – it's most difficult problem R Cutler Oil Analysis Laboratories, UK	[212] Update on ISO standards in condition monitoring and vibration S Mills SpectrumCBM Ltd, UK	[213] Aerial robotics for inspection and maintenance of assets C Udell Voliro AG, Switzerland
11.20-11.40	[214] Online monitoring of remaining useful life by antioxident depletion in turbine engine oils X Pu and S Greenfield Eaton Aersopace, UK	[224] A physics-based study of shaft/coupling misalignment signature using vibration analysis S Ganeriwala SpectraQuest Inc, USA	[216] Full-contact and immediate-proximity airborne inspection with a hybrid crawler-multirotor vehicle R Watson, T Zhao, D Zhang, G Dobie, C MacLeod and SG Pierce University of Strathclyde, UK
11.40-12.00	[217] An introduction to machine early failure detection by oil debris monitoring and analysis Steve Greenfield Anokhi Consulting Engineers, UK	[218] Using creative synchronous averaging for detecting defects of a belt-driven bevel gearbox S Ganeriwala SpectraQuest Inc, USA	[219] Monitoring heat loss using drones S Welland iRed, UK
12.00-12.20	[220] Optical acoustic emission system M Sorgente and D Van Velson Optics 11, Netherlands	[230] Vibration analysis case study D Whittle RMS Ltd, UK	[222] Evaluation of remote visual inspection (RVI) techniques for inspection of high-hazard plant: results from an ongoing cross-industry research project A Banniester, G Alliott, M Stewart and O Okunribido Health and Safety Executive (HSE) Science Division, UK
12.20-12.40	[112] Both radial and axial load distributions measurement on V-band clamp by a new load cell design G Capobianco¹, N Bohun¹, M Gratton¹, R Serra¹, A Zinbi² and N Rigollet² ¹INSA Centre Val de Loire, France ²Caillau Industries, France	[206] Part One: Reliability centred condition-based maintenance P Price CM Consultant, UK Part Two: Reliability centred condition-based maintenance P Price CM Consultant, UK	AI-enabled decision support systems (AI-DSS) for enhanced asset condition monitoring Chair: Dr A Rahbarimanesh
			[225] AI-DSS for enhanced asset condition monitoring A Rahbarimanesh The University of Manchester, UK
12.40-13.00	12.40-13.30 Workshop: Optimising benefits of predictive maintenance essential concepts of signal processing S Ganeriwala SpectraQuest Inc, USA	[221] New paradigms in maintenance, operation and health management of rotating machinery large fleets. The effect of Industry 4.0 M Vila^1,2, G P Diego^2,3, J Lin² and J P Liyanage⁴¹Repsol, Spain Lulea University of Technology, Sweden ³TECNALIA, Spain ⁴ University of Stavanger, Norway	[226] Non-destructive testing (NDT) 4.0: robotic technology applied for the floor thickness monitoring of hazardous liquid storage tanks A Rahbarimanesh The University of Manchester, UK
13.00-13.20			[227] Project nautilUS: a fully-autonomous robotic technology for smart floor thickness monitoring of hazardous liquid storage tanks A Rahbarimanesh The University of Manchester, UK
13.20-14.20	Lunch – Room: Aviator Foyer Exhibition – Room: Bleriot
14.20-14.50	Plenary Keynote Lecture [201]: Autonomous mobile robot localisation: sensing and estimation Professor H Karimi, Italy Chair: Professor L Gelman, University of Huddersfield, UK Room: Bleriot
14.50-15.20	Plenary Keynote Lecture [229]: Time and frequency domain study of failure development in axial piston pumps Dr G Herborg-Enevoldsen and Dr C Svendsen, Denmark *Chair: Professor L Gelman, University of Huddersfield, UK* Room: Bleriot
15.20-15.40	Tea and Coffee – Room: Aviator Foyer Exhibition – Room: Bleriot
	Session 5A – Room: Bleriot	Session 5B – Room: Johnson	Session 5C – Room: Armstrong
15.40-17.15	Workshop – Oil training S Greenfield Anokhi Consulting Engineers, UK	Workshop – Introduction to vibration analysis with real-world case studies D Whittle RMS Ltd, UK	Workshop – Applying vibration standards S Mills SpectrumCBM Ltd, UK
17.15 19.30-20.00	Conference close for the day Evening Event: Pre-dinner drinks – Room: Aviator Foyer Conference dinner – Room: Bleriot

Thursday 9 June 2022
08.00	Registration: – Room: Aviator Foyer Tea and Coffee: – Room: Aviator Foyer
09.00- 09.30	Plenary Keynote Lecture [301]: No news is good news - or is it? Condition monitoring for anomaly detection Dr R Lane, UK Chair: Professor L Gelman, University of Huddersfield, UK Room: Bleriot
	Session 7A – Novel and classical signal processing for condition monitoring, structural health monitoring (SHM) and NDT Chair: Professor L Gelman Room: Bleriot	Session 7B – The relationship of condition monitoring to NDT and SHM *Chair: S Mills* Room: Johnson
09.30-09.50	[304] Detection and correction of equipment biases during engine tests A Mourer¹ and J Lacaille² ¹Università Paris 1 Panthéon Sorbonne, France ²Safran Aircraft Engines, France	[303] The relationship of condition monitoring to NDT and SHM S Mills, SpectrumCBM Ltd, UK
09.50-10.10	[306] Fault diagnosis in gearbox with invasive and non-invasive sensing approach: a review M Alotaibi, B Asli and M Khan Cranfield University, UK	[305] Progress with NDT/condition monitoring apprenticeships S Mills SpectrumCBM Ltd, UK
10.10-10.30	[308] Novel diagnosis of a reduced oil level in a gear motor via motor current non-linearity analysis L Gelman¹, M H Farhat¹, G Conaghan², W Kluis² and A Ball¹ ¹University of Huddersfield, UK ²Babcock BV, Holland	[307] Monitoring rotating machines: how monitoring voltage and current has prompted new mathematical research and new insights into machine behaviour G Walker Faraday Predictive Ltd, UK
10.30-11.00	Tea and Coffee – Room: Aviator Foyer
	*Session 7A continued* – Novel and classical signal processing for condition monitoring, SHM and NDT Chair: Professor L Gelman** Room: Bleriot	*Session 7B continued* – The relationship of condition monitoring to NDT and SHM Chair: S Mills** Room: Johnson
11.00-11.20	[310] Novel higher-order spectral based diagnosis of a conveyor belt mistracking via motor current signature analysis L Gelman¹, M H Farhat¹, G Conaghan², W Kluis² and A Ball¹ ¹University of Huddersfield, UK ²Babcock BV, Holland	[309] Strategies for defect sizing based on MFL signals and due to numerical simulation I Perez-Blanco¹, G Dobmann², C Boller² and J Panqueva-Alvarez¹ ¹Corporación para la Investigación de la Corrosión (CIC), Columbia ²Saarland University, Germany
11.20-11.40	[312] Novel diagnosis of a lack of bearing lubrication via motor current non-linearity analysis L Gelman¹, M H Farhat¹, G Conaghan², W Kluis² and A Ball¹ ¹University of Huddersfield, UK ²Babcock BV, Holland	[315] Current progress in the use of potential drop for condition monitoring of creep in high-temperature/pressure industrial plant A Wojcik¹, M Wait², A Santos² and A Shibli² ¹UCL, UK ²Matelect Ltd, UK ³European Technology Developments Ltd, UK
11.40-12.00	[215] Gearbox diagnosis based on the spectral kurtosis and adaptive filtering L Gelman¹ and G Persin² ¹University of Huddersfield, UK ²Qualimental Technologies Limited, UK	[324] Limitation of vibration spectra S Mills SpectrumCBM Ltd, UK
12.00-13.00	Lunch – Room: RBG Restaurant
	*Session 7A continued* – Novel and classical signal processing for condition monitoring, SHM and NDT Chair: S Mills** Room: Bleriot	Session 7B – General condition monitoring Chair: Professor A Kostyukov Room: Johnson
13.00-13.20	*PLEASE NOTE THE BELOW PAPER HAS NOW BEEN CANCELLED* [318] How different monitoring approaches impact the P-F model – a case study D Hickey, M Smith, B Simmonds and I Dinwoodie The Natural Power Consultants, UK	[317] Data analysis and fault finding case study of a 660 MW steam turbine generator set in a power station Z A Malik EDF Energy, UK
13.20-13.40	[320] Development of a maintenance framework for modren manufacturing systems – a case study across UK manufacturers A Shaalan, D Baglee and D Dixon University of Sunderland, UK	[319] Vibration jerk as a parameter for condition monitoring of electric trains A Kostyukov and S Boychenko SPC Dynamics, Russia Presented via webinar
13.40-14.00	[322] The development of CMMS platform incorporating condition monitoring tools in the advances of Industry 4.0 A Shaalan, A Morris and D Baglee University of Sunderland, UK	[321] Dependency of bearing vibration parameters on applied load S Boychenko and A Kostyukov SPC Dynamics, Russia Presented via webinar
14.00-14.20		[323] AI system application practice for protection of pumps at hazardous plants A Kostyukov and S Boychenko SPC Dynamics, Russia Presented via webinar
14.20-15.00	Panel session – Future directions in condition monitoring and asset management Chair: Professor L Gelman, University of Huddersfield, UK Room: To be confirmed
15.00-15.10	Conference closing ceremony and The Len Gelman Best Paper Award ceremony – Room: Bleriot

For further information contact: Events and Awards Department, The British Institute of Non-Destructive Testing,
Midsummer House, Riverside Way, Bedford Road, Northampton NN1 5NX, UK.
Tel: +44 (0)1604 438300; Email: cm_mfpt@bindt.org; Web: www.cm-mfpt.org

Programme

Tuesday 7 to Thursday 9 June 2022 Radisson Hotel and Conference Centre, London Heathrow, UK

Tuesday 7 to Thursday 9 June 2022
Radisson Hotel and Conference Centre, London Heathrow, UK