CM 2021

Monday 14 to Friday 18 June 2021

Due to the escalating situation with regard to the coronavirus outbreak in the UK, BINDT made the decision to host the Seventeenth International Conference on Condition Monitoring and Asset Management (CM2021) as a virtual five-day event in place of a physical conference.

The CM2021 conference was held from Monday 14 to Friday 18 June 2021.

About the International Conference

The British Institute of Non-Destructive Testing (BINDT) was pleased to invite delegates to this premier virtual event, the Seventeenth International Conference on Condition Monitoring and Asset Management.

The virtual conference is organised by BINDT in close partnership with the International Society for Condition Monitoring (ISCM) and the US Society for Machinery Failure Prevention Technology (MFPT). This combination of the efforts of these leading organisations creates one of the largest events of its kind at a truly international level and builds on the highly successful 16 international condition monitoring conferences organised by BINDT, the First World Congress on CM in 2017 organised by BINDT and ISCM and 71 annual conferences organised by the MFPT Society.

BINDT has always recognised the importance of encouraging students to participate in this major international event. As a gesture to celebrate the seventeenth international conference, the Institute provided sponsorship of student registrations in 2021, resulting in a major reduction of fees for student attendance.

Current sponsors

RMS Ltd	Sensonics Ltd
SpectraQuest Inc

Exhibitor		Website
British Institute of Non-Destructive Testing		www.bindt.org
International Society for Condition Monitoring		www.intiscm.org
Novosound Ltd		www.novosound.net
Reliability Maintenance Solutions Ltd		www.rms-reliability.com

Plenary keynote speakers

Speakers	Title
Professor M Ahmadian	LiDAR system applications for improving condition monitoring and asset management of railways
Professor A Ball	Interdisciplinary, like it or not
Professor N Gucunski	Development of deterioration and predictive models for concrete bridge decks from NDE field and accelerated structural testing data
G Herborg-Enevoldsen and C Svendsen	Condition monitoring on axial piston pumps: bridging the data gap
Professor H R Karimi	Intelligent fault diagnosis of rotary machinery
Professor P Lazaridis	Radiometric partial discharge condition monitoring for high voltage electricity substations
Professor A Zak	FE-based wave propagation modelling for damage detection purposes

Invited overview speakers

Speakers	Title
Dr C Kar	Advanced analytics for motor current signature analysis: An overview

Structured session organisers

Speakers	Title
Dr L Alboul Co-Chair: Dr A Shenfield	Condition monitoring methods and technologies
C Brett	Workshop on multicopters for inspection
Dr S Ganeriwala	Induction motor diagnostics
Professor L Gelman	Vibration fault diagnosis and prognosis
S Greenfield	Oil and oil debris monitoring technologies
	Condition monitoring by infrared thermography
Professor A Hope	Vibration monitoring and NDT methods and technologies
Dr E Juuso	Advanced signal processing and failure prognostics
Dr A Kostyukov	Machinery diagnostics
Professor L Kuravsky	Trained structures and statistical methods in condition monitoring
S Mills	Vibration condition monitoring
J Moody	Apprenticeships: The NDT and CM update
Professor S Noroozi	Human dynamics and biological health monitoring
Professor R Serra	Design, motion estimation and condition monitoring
Professor V Vishnyakov	Self-reporting and demanding environment coatings
D Whittle	Exhibitors' industry session
Professor A Zak	Condition monitoring and NDT methods and technologies
Dr A Zippo	Signal processing and modelling of complex systems

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 new a generation of 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

For further information contact: Conferences and Events Department, The British Institute of Non-Destructive Testing,
Midsummer House, Riverside Way, Bedford Road, Northampton NN1 5NX, UK.
Tel: +44 (0)1604 438300; Fax: +44 (0)1604 438301; Email: cm_mfpt@bindt.org; Web: www.cm-mfpt.org