Programme

Monday 14 to Friday 18 June 2021

At-a-glance programme

Morning
Monday 14 June Session 1: Trained structures and statistical methods in condition monitoring	Tuesday 15 June Session 3: Oil and oil debris monitoring technologies Condition monitoring by infrared thermography *Advanced signal processing and failure prognostics*	Wednesday 16 June Session 5: Workshop on multicopters for inspection *Design, motion estimation and condition monitoring*	Thursday 17 June Session 7: Condition monitoring methods and technologies	Friday 18 June Session 9: Signal processing and modelling of complex systems *Condition monitoring and NDT methods and technologies*
Afternoon
Monday 14 June Session 2: Vibration condition monitoring	Tuesday 15 June Session 4: Human dynamics and biological health monitoring Machinery diagnostics	Wednesday 16 June Session 6: Vibration monitoring and NDT methods and technologies	Thursday 17 June Session 8: Condition monitoring method workshops	Friday 18 June Session 10: Condition monitoring and NDT methods and technologies

Day-by-day programme

Monday 14 June 2021
09.25- 09.30	Opening ceremony: Welcome and introduction D Gilbert, CEO of BINDT, Professor L Gelman, University of Huddersfield and Professor A Hope, UK
09.30- 10.00	Plenary Keynote – COMADIT Prize Lecture [001]: Interdisciplinary, like it or not Professor A Ball, University of Huddersfield, UK Chairs: Professor L Gelman, University of Huddersfield, UK and Professor A Hope, UK
	Session 1A – Trained structures and statistical methods in condition monitoring Chair: Professor L Kuravsky
10.00- 10.15	[1A1] An approach to diagnostics based on video oculography data analysis L S Kuravsky¹, G A Yuryev¹, V I Zlatomrezhev², I I Greshnikov¹ and B Y Polyakov¹ ¹Moscow State University of Psychology and Education, Russia ²Federal State Unitary Enterprise, State Research Institute of Aviation Systems (GosNIIAS), Russia
10.15- 10.30	[1A2] Adaptive aircraft crew training based on probabilistic models for estimating the flight crew capability level L S Kuravsky, P N Dumin and G A Yuryev Moscow State University of Psychology and Education, Russia
10.30- 10.45	Fifteen-minute comfort break
10.45-11.00	[1A6] Optimisation of cockpit displays and controls using touch displays I Greshnikov, V Zlatomregey and D Davydov Federal State Unitary Enterprise, State Research Institute of Aviation Systems (GosNIIAS), Russia
11.00-11.15	[1A7] Short-term solar radiation prediction in Huddersfield based on the feed-forward neural network Z Wang^1,2, G Feng¹, X Liu², D Zhen³, F Gu¹ and A Ball¹ ¹University of Huddersfield, UK ²Entrust Smart Home Microgrid Ltd, UK ³Hebei University of Technology, China
11.15- 11.30	Question and answer session
11.30- 12.15	Exhibitors’ industry session Chair: D Whittle, RMS Ltd, UK 11.30-11.45 – Condition monitoring program implementation, D Whittle, RMS Ltd, UK 11.45-12.00 – Simple, smart corrosion monitoring with the Novosound Belenus, D Hughes, Novosound, UK
12.00- 12.15	Exhibitors' question and answer session
12.15- 13.15	Lunch break
13.15- 13.45	Plenary Keynote Lecture [002] Development of deterioration and predictive models for concrete bridge decks from NDE field and accelerated structural testing data Professor N Gucuncski, Rutgers University, USA Professor L Gelman, University of Huddersfield, UK
	Session 2A – Vibration condition monitoring Chair: S Mills
13.45- 14.00	[2A1] Comparing condition monitoring techniques in the wind industry D Hickey, S Maxwell, S Hendren and I Dinwoodie Natural Power Consultants, UK
14.00- 14.15	[2A2] Enhancing bearing signature using minimum entropy decomposition to determine bearing faults in a permanent magnet motor S Ganeriwala and D Chen SpectraQuest Inc, USA
14.15- 14.25	Ten-minute comfort break
14.25- 14.40	[2A3] Optimal feature performance analysis in IESFOgram for bearing diagnostics A Mauricio¹, S Schmidt² and K Gryllias¹ ¹KU Leuven University, Belgium ²University of Pretoria, South Africa
14.40-14.55	[2A4] Condition monitoring and failure analysis of liquefied natural gas plant flow control valve stem packing system E S Pereira, B M Alkali and O Niculita Glasgow Caledonian University, UK
14.55-15.10	[2A5] Pipework vibration – why do we not monitor its condition? I Jarvie Oceaneering International Services Ltd, UK
15.10- 15.25	[2A6] Tool condition monitoring based on vibration signal from an on-rotor sensor in CNC turning process C Li^1,2, D Li^1,2, D Shi³, G Feng², B Li¹, H Wang⁴, F Gu² and A Ball² ¹Beijing Institute of Technology Zhuhai, China ²University of Huddersfield, UK ³Shandong University of Science and Technology, China ⁴Beijing Information Science and Technology University, China
15.25-15.40	[2A7] Structural damage detection with frequency-based fitness functions using standard PSO algorithm X Li^1,2, R Serra^1,2 and J Olivier^1,3 ¹Institut National des Sciences Appliquées Centre Val de Loire, France ²Laboratoire de Mécanique Gabriel Larné, France ³Laboratoire d'informatique Fondamentale et Appliquée de Tours, France
15.40-15.55	[2A8] Bearing fault diagnosis with non-stationery speed and load conditions S Berrada^1,2, R Serra¹, P Van Dalen² and C Chastagner² ¹Institut National des Sciences Appliquées Centre Val de Loire, France ²SKF RTD, Netherlands
15.55-16.10	[2A9] Study on the influence of unsteady state on damage estimation of random vibration loading Y Wang^1,2 and R Serra² ¹China Academy of Railway Sciences (CARS), China ²Institut National des Sciences Appliquées Centre Val de Loire, France
16.10-16.25	[2A10] Wind turbine blades fault detection using system identification-based transmissibility analysis X Wang, L Zhang and W Heath University of Manchester, UK
16.25-16.35	Question and answer session
16.35	Webinar close for the day

Tuesday 15 June 2021
09.25- 09.30	Opening ceremony: Welcome and introduction D Gilbert, CEO of BINDT, Professor L Gelman, University of Huddersfield and Professor A Hope, UK
09.30- 10.00	Plenary Paper [003]: Condition monitoring on axial piston pumps: bridging the data gap G Herborg-Enevoldsen and C Svendsen, Danfoss, Denmark Chairs: Professor L Gelman, University of Huddersfield, UK and Professor A Hope, UK
	Session 3A – Oil and oil debris monitoring technologies Chair: S Greenfield
10.00- 10.15	[3A1] Advanced debris monitoring system S Greenfield Eaton Aerospace, UK
10.15-10.30	[3A2] Oil condition monitoring system X Pu Eaton Aerospace, UK (Paper presented by S Greenfield, Eaton Aerospace, UK)
10.30- 10.45	[3A3] Earlier detection of potential injector failures in fuel B Cutler Oil Analysis Laboratories, UK
10.45- 11.00	[3A4] Analysis of wear and contamination particles from in-service oil and filter samples D Korachkin Swansea Tribology, UK
11.00- 11.15	[3A5] Wear debris monitoring of wind turbine pitch bearing lubrication T Nowell Intertek, UK
11.15- 11.30	[3A6] The development of condition monitoring diagnostics for prescribed actions using a combination of artificial intelligence, machine learning algorithms and a modified approach to FMECA D Shorten Optimain Ltd, UK
11.30-11.40	Question and answer session
11.40- 11.50	Ten-minute comfort break
	Session 3A – Condition monitoring by infrared thermography Chair: S Greenfield
11.50- 12.05	[3A7] Equine IRT E Hall Equine Thermography, UK
12.05-12.20	[3A8] Safe thermographic severity extrapolation in low-energy circuits D Manning-Ohren ERIKS, UK
12.20-12.35	[3A9] Infrared thermal imaging for bone fracture identification and monitoring of fracture healing: a review of the latest developments C L Reed¹, R Saatchi² and S Ramlakhan³ ¹The University of Sheffield, UK ²Sheffield Hallam University, UK ³Sheffield Children's Hospital, UK
12.35-12.45	Question and answer session
	Session 3A – Advanced signal processing and failure prognostics Chair: Dr E Juuso
12.45- 13.00	[3A10] Intelligent stress and condition indicators for adaptation of control actions E Juuso University of Oulu, Finland
13.00- 13.05	Question and answer session
13.05- 14.00	Lunch break
	Session 4A – Human dynamics and biological health monitoring Chair: Professor S Noroozi
14.00- 14.15	[4A1] On-body sensing systems: human motion capture for health monitoring R Haratian Bournemouth University, UK
14.15- 14.30	[4A2] Monitoring the kinematics of walking and running gait after total knee replacement using a generation of kenematic retaining prosthetic knee implant S Noroozi¹, E Craig¹, A Harvey² and N Aslani³ ¹Bournemouth Universty, UK ²RBCH, UK ³Dimond Light Source, UK
14.30- 14.45	[4A3] Measurement of displacement of Weber B type ankle fracture pattern invitro axial and torsional loading M Naveed Royal Bournemouth Hospital, UK
14.45- 14.55	Question and answer session
	Session 4A – Machinery diagnostics Chair: Professor A Kostyukov
14.55- 15.10	[4A4] Digital reliability: 24/7 real-time machinery diagnostics A V Kostyukov Dynamics SPC, Russia
15.10- 15.25	[4A5] Practical use of diagnostic signs of vibration invariant to machinery construction A V Kostyukov and S N Boychenko Dynamics SPC, Russia
15.25-15.40	[4A6] AI systems based on incomplete knowledge for health monitoring and diagnostics of equipment A V Kostyukov and S N Boychenko Dynamics SPC, Russia
15.40-15.55	[4A7] Dividing electrical and mechanical defects of electric motor by short time realisations of vibration signal S N Boychenko and A Kostyukov Dynamics SPC, Russia
15.55-16.10	[4A8] Stress control – the main direction in the development of technical diagnostics and condition monitoring A Dubov and S Kolokolnikov Energodiagnostika Co Ltd, Russia
16.10-16.25	[4A9] CNN-based early classification of rotating machinery fault diagnosis D Yang, H Karimi and K Sun Politecnico di Milano, Italy
16.25-16.40	[4A10] Development of magnetic eddy current sensor for online corrosion monitoring of ferromagnetic pipelines R Wasif London South Bank University, UK
16.40-16.55	[4A11] Interference of variable frequency (VFD) on rotating machinery fault diagnosis S Ganeriawala SpectraQuest Inc, USA
16.55- 17.05	Question and answer session
17.05	Webinar close for the day

Wednesday 16 June 2021
09.25- 09.30	Opening ceremony: Welcome and introduction D Gilbert, CEO of BINDT, Professor L Gelman, University of Huddersfield and Professor A Hope, UK
09.30- 10.00	Plenary Paper [004]: Intelligent fault diagnosis of rotary machinery Professor H Karimi, Politecnico di Milano, Italy Chairs: Professor L Gelman, University of Huddersfield, UK and Professor A Hope, UK
	Session 5A – Workshop on multicopters for inspection Chair: Dr C Brett
10.00-10.15	[5A1] Maximising efficiency of drone-captured data though digitalisation P Saracco Cyberhawk, UK
10.15-10.30	[5A2] Development of a training programme for safe use of drones in industrial inspections R Rudd ECITB, UK
10.30-10.45	[5A3] Delivery of contact inspections using drones P Khalili, A Garriga Casanovas and F Cegla Imperial College, UK
10.45-11.00	[5A4] HOIS guidance for UAV-based external remote visual inspection S Burch ESR Technology Ltd, UK
11.00-11.15	[5A5] Advances in contact-based non-destructive evaluation using unmanned aerial vehicles R Watson, T Zhao, D Zhang, J Cao, C MacLeod and G Dobie University of Strathclyde, UK
11.15- 11.25	Question and answer session
11.25- 11.35	Ten-minute comfort break
	Session 5A – Design, motion estimation and condition monitoring Chair: Professor R Serra
11.35- 11.50	[5A7] Design and development of an exoskeleton prototype arm utilising electromyography J Gornall, B Mandia, L Downing and R Saatchi Sheffield Hallam University, UK
11.50-12.05	[5A8] Detecting corrugation defects in harbour railway networks using axle box acceleration data J Heusel, B Baasch, W Riedler, M Roth, S Shankar and J C Groos German Aerospace Center (DLR), Germany
12.05- 12.15	Question and answer session
12.15- 13.00	Lunch break
12.30- 13.00	International Scientific Advisory Committee Meeting (working lunch by invitation only)
12.50- 13.00	Condition Monitoring Awards Ceremony COMADIT Prize Condition Monitoring Innovation Award
13.00- 13.30	Plenary Paper – [005]: LiDAR system applications for improving condition monitoring and asset management of railways Professor M Ahmadian, Virginia Tech, USA Chair: Professor L Gelman, University of Huddersfield, UK
	Session 6A – Vibration monitoring and NDT methods and technologies Chair: Professor A Hope
13.30- 13.45	[6A1] Update on ISO standards in condition monitoring and vibration S Mills SpectrumCBM Ltd, UK
13.45- 14.00	[6A2] Visualising vibration: a ‘gamechanger’ for troubleshooting, diagnostics and root-cause analysis D Whittle RMS Ltd, UK
14.00- 14.15	[6A3] Vibration analysis case studies from wind turbines D Futter Bachmann Monitoring GmbH, Germany
14.15-14.25	Ten-minute comfort break
14.25- 14.40	[6A4] Industry 4.0 and vibration monitoring – a compromise between data quantity and data quality D Manning-Ohren ERIKS, UK
14.40- 14.55	[6A5] Predictive techniques and analytics: experience and expectations in Industry 4.0 T Pyne Center for Reliability and Diagnostics, India
14.55-15.10	[6A6] Advances in non-invasive inspections: a review on methods and tools M Alotaibi and M Khan Cranfield University, UK
15.10-15.25	[6A7] Image representations of vibrations and their application in fault diagnosis of roller bearings: an overview H Ahmed Brunel University London, UK
15.25-15.40	[6A8] Vibration analysis of bearings on a wet wipes converting line A Lomax Kimberly-Clark, UK
15.40- 15.50	Question and answer session
15.50	Webinar close for the day

Thursday 17 June 2021
09.25- 09.30	Opening ceremony: Welcome and introduction D Gilbert, CEO of BINDT, Professor L Gelman, University of Huddersfield and Professor A Hope, UK
09.30- 10.00	Plenary Keynote Lecture [006]: Radiometric partial discharge condition monitoring for high-voltage electricity substations Professor P Lazaridis, University of Huddersfield, UK Chairs: Professor L Gelman, University of Huddersfield, UK and Professor A Hope, UK
	Session 7A – Condition monitoring methods and technologies Chair: Dr L Alboul
10.00- 10.15	[7A1] Analysis of vibration frequencies as a method of screening for long bone structures in children D Fennimore¹, R Ali², L Alboul² and A Offiah^1,3 ¹University of Sheffield, UK ²Sheffield Hallam University, UK ³Sheffield Children's NHS Foundation Trust, UK
10.15-10.30	[7A2] A smart sleep apnoea detection service R Barika, A Shenfield, H Razaghi and O Faust Sheffield Hallam University, UK
10.30- 10.45	[7A3] Validating a deep-learning model for atrial fibrillation detection M Kareem and O Faust Sheffield Hallam University, UK
10.45- 10.55	Ten-minute comfort break
10.55- 11.10	[7A4] Low speed monitoring and trunnion bearing case study D Whittle RMS Ltd, UK
11.10- 11.25	[7A5] Using vibration analysis to detect a rotor problem D Whittle RMS Ltd, UK
11.25- 11.40	[7A6] Non-contact respiration rate monitoring: an evaluation of four methods H Stratton¹, R Saatchi¹, R Evans¹ and H Elphick² ¹Sheffield Hallam University, UK ²Sheffield Children’s Hospital, UK
11.40- 11.55	[7A7] A critical overivew of machine learning approaches in structural health monitoring and assessment: smart composites I Omar, M Khan and A Starr Cranfield University, UK
11.55-12.10	[7A8] Detection of anomalies on signals during aircraft engine tests: methodological comparison between historical, statistical and deep-learning approaches Y Rotrou¹, M Yahia-Bacha¹, J Miller² and Y El Amraoui² ¹Safran Aircraft Engines, France ²Ezako, France
12.10-12.20	Question and answer session
12.20- 12.35	Plenary Keynote Lecture – Apprenticeships: The NDT and CM update I Baillie¹ and J Moody² ¹Rolls-Royce plc, UK ²BINDT, UK *Chair: Professor A Hope, UK*
12.35- 13.00	Lunch break
	Session 8A – Condition monitoring method workshops
13.00- 14.00	Workshop – An animated introduction to vibration analysis training workshop D Whittle RMS Ltd, UK
14.00- 14.10	Question and answer session
14.10- 15.10	Workshop – Introduction to oil and oil debris monitoring S Greenfield Eaton Aerospace, UK
15.10- 15.20	Question and answer session
15.20- 16.20	Workshop – Key steps to implementing condition monitoring S Mills SpectrumCBM Ltd, UK
16.20- 16.30	Question and answer session
16.30-17.30	Workshop – Induction motor diagnostics S Ganeriwala SpectraQuest Inc, USA
17.30- 17.40	Question and answer session
17.40	Webinar close for the day

Friday 18 June 2021
09.25- 09.30	Opening ceremony: Welcome and introduction D Gilbert, CEO of BINDT, Professor L Gelman, University of Huddersfield and Professor A Hope, UK
09.30- 10.00	Plenary Keynote Lecture [007]: Finite element-based wave propagation modelling for damage detection purposes Professor A Zak, Gdańsk University of Technology, Poland Chairs: Professor L Gelman, University of Huddersfield, UK and Professor A Hope, UK
	Session 9A – Signal processing and modelling of complex systems Chair: Dr A Zippo
10.00- 10.15	[9A1] Gear diagnostics: experimental data comparison of radial accelerometers, tangential accelerometers and torquemeter A Zippo¹, F Pellicano¹, G Iarriccio¹, L Beramini¹, G D'Elia² and G Dal-Piaz² ¹Università degli Studi di Modena e Reggio Emilia, Italy ²Universitá degli Studi di Ferrara, Italy
10.15-10.30	[9A2] Gear prognostics: a predictive algorithm for lifetime estimation of operating gearboxes L Bergamini, A Zippo, F Pellicano, G Iarriccio and M Molaie Università degli Studi di Modena e Reggio Emilia, Italy
10.30- 10.45	[9A3] Time series analysis of arm and forearm measurement for functional electrical stimulation control A Zippo, F Pellicano and G Iarriccio Università degli Studi di Modena e Reggio Emilia, Italy
10.45- 11.00	[9A4] Angular-based modelling of a planetary gear set with a tooth crack A Telbani^1,2,3, A Bourdon¹, D Remond¹, J Souilliart² and M A Hassini³ ¹University of Lyon, France ²EDF DTG, France ³EDF R&D, France
11.00-11.10	Question and answer session
11.10- 11.20	Ten-minute comfort break
	Session 9A – Condition monitoring and NDT methods and technologies *Chair: Professor R Serra*
11.20-11.35	[9A5] Delivering real CBM results in IoT 4.0 for industry A Findlow¹ and P Nash² ¹Hayley 247 Engineering Services Ltd (t/a Drive Management Services), UK ²InVMA Ltd, UK
11.35-11.50	[9A6] Real-time monitoring of crack growth in rail track using acoustic emission techniques R Culwick, V L Jantara Junior and M Papaelias University of Birmingham, UK
11.50-12.05	[9A7] Applicability of time series features as health indicators for technical systems operating under varying conditions O Kennedy Aimiyekagbon, A Bender and W Sextro Paderborn University, Germany
12.05-12.20	[9A8] Quantitative analysis of the structural health of railway turnout using acoustic emission technique M Kongpuang¹, R Culwick¹, N Cheputeh¹, A Marsh¹, V L Jantara Junior¹, P Vallely^1,2, S Kaenwunruen¹ and M Papaelias¹ ¹University of Birmingham, UK ²Network Rail, UK
12.20-12.35	[9A9] Vibration monitoring and analysis – Category III Workbook S Mills, SpectrumCBM Ltd, UK
12.35-12.50	[9A10] Bearing defect detection and cause verification D Whittle RMS Ltd, UK
12.50-13.00	Question and answer session
13.00- 13.15	Lunch break
	Session 10A – Condition monitoring and NDT methods and technologies Chair: Professor A Zak
13.15-13.30	[10A1] Advanced analytics for motor current signature analysis: an overview Dr C Kar Honeywell Middle East, Saudi Arabia
13.30-13.45	[10A2] Automated scanning ultrasound testing of brazing G Por¹, M Agócs¹, E Kocsó¹, J Molnar¹, P Szabó¹, K Szikszai¹ and M Szabó² ¹University of Dunaujvaros, Hungary ²Oerlikon Eldim (HU) Ltd, Hungary
13.45-14.00	[10A3] Research and application of infrared testing technology for large-scale amusement rides G T Shen, Y Lui, Z X Wang and Y Yu China Special Equipment Inspection and Research Institute, China
14.00-14.25	Twenty five-minute comfort break
14.25-14.40	[10A5] Low-power corrosion monitoring for hazardous environments C B Thring, D L Lunardi, C Mackenzie, A Rabell-Montiel, D Irving and D A Hughes Novosound, UK
14.40-14.55	[10A6] Confounding factors effect on guided wave ultrasonic testing (GWUT) O C Samuel, K A Muhammad and A Starr Cranfield University, UK
14.55-15.10	[10A7] Statistical analysis of inspection data for probalistic risk assessments Y Sokolov Quanty Pty Ltd, Australia
15.10- 15.20	Question and answer session
15.20-15.30	Presentation by Professor A Hope for 'The Len Gelman Award 2021'
15.30	Closing ceremony D Gilbert, CEO, BINDT, and Professor L Gelman, University of Huddersfield