CM 2026
9-11 June 2026
The Grand, York, UK


| About the International Conference |
The British Institute of Non-Destructive Testing (BINDT) was pleased to invite delegates to this premier event, the 22nd International Conference on Condition Monitoring and Asset Management (CM 2026).
The conference was 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 created one of the largest events of its kind at a truly international level and built on the highly successful 21 international condition monitoring (CM) conferences organised by BINDT and the First World Congress on CM in 2017 organised by BINDT and ISCM.
| Sponsors |
| Silver Sponsor | Bronze Sponsor |
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| Gastops Ltd | Reliability Maintenance Solutions Ltd | ||
| Exhibitor | Website | ||||
| Ashtead Technology | ![]() www.ashtead-technology.com | ||||
| BINDT | ![]() www.bindt.org | ||||
| Gastops Ltd | ![]() www.gastops.com | ||||
| JME Ltd | ![]() www.jme.co.uk | ||||
| Multisensor AI Holdings Inc | ![]() www.multisensorai.com | ||||
| Reliability Maintenance Solutions Ltd | ![]() www.rms-reliability.com | ||||
| UK Research Centre for Non-Destructive Evaluation (RCNDE) | ![]() www.rcnde.ac.uk | ||||
| Waygate Technologies (Baker Hughes Digital Solutions GmbH) | ![]() www.bakerhughes.com | ||||
| Monday 8 June 2026 | |
| 16.00-19.00 | Registration – Room: Grand Boardroom Foyer |
| 19.00-21.00 | Welcome Buffet – Room: Chairman’s Suite |
| Tuesday 9 June 2026 | |||
| 08.00 | Registration – Room: Grand Boardroom Foyer Tea and Coffee – Room: Grand Boardroom Exhbition – Room: Grand Boardroom | ||
| 09.00-09.20 | Opening Ceremony – Welcome and introduction Professor L Gelman, University of Huddersfield, UK Room: Grand Boardroom | ||
| 09.20-09.50 | Plenary COMADIT Prize Lecture [1A0]: Condition monitoring of rotating machines using electrical current and voltage readings – Past, present and future: a personal reflection on the evolution of technology and implications for individuals careers G Walker, Faraday Predictive Ltd, UK Chair: D Whittle, RMS Ltd, UK Room: Grand Boardroom | ||
| 09.50-10.30 | Exhibitor Spotlight Session 09.50-09.55 – Reliability Maintenance Solutions (RMS) Ltd 09.55-10.00 – Gastops Ltd 10.00-10.05 – Ashtead Technology 10.05-10.10 – JME Ltd 10.10-10.15 – Waygate Technologies 10.15-10.20 – MultiSensor AI 10.20-10.25 – RCNDE 10.25-10.30 – BINDT Chair: K Cambridge, BINDT, UK Room: Grand Boardroom | ||
| 10.30-11.00 | Tea and Coffee – Room: Grand Boardroom Exhibition – Room: Grand Boardroom | ||
| Session A – Data analysis for aircraft fleet management Chair: Professor J Lacaille Room: Grand Boardroom | Session B – Condition monitoring training and certification Chair: S Mills Room: Chairman's Suite | ||
| 11.00-11.20 | [1A1] Dynamic survival analysis for aerospace systems: a landmarking approach for engine maintenance and fleet management G Bahrini¹, E Morgue¹, S Razakarivony¹, M Barbet-Massin¹, R Bsili², D Idrissou², A Gariah² and F Faupin³ ¹Safran Tech, France ²Safran Aircraft Engines, France ³Safran Helicopter Engines, France | [1B1] Effective conference presenting S Mills SpectrumCBM Ltd, UK | |
| 11.20-11.40 | [1A2] Forecasting the unflown: counterfactual anomaly detection for aircraft engines via latent state modelling T Binet¹, H Azzag¹, M Lebbah² and J Lacaille³ ¹Sorbonne Paris Nord University, France ²Université Paris-Saclay, France ³Safran Aircraft Engines, France | [1B2] Update on condition monitoring standards S Mills SpectrumCBM Ltd, UK | |
| 11.40-12.00 | [1A3] Virtual standardisation: benchmarking repair efficacy through counterfactual engine response simulation T Binet¹, H Azzag¹, M Lebbah² and J Lacaille³ ¹Sorbonne Paris Nord University, France ²Université Paris-Saclay, France ³Safran Aircraft Engines, France | [1B4] Teaching balancing basics S Mills SpectrumCBM Ltd, UK | |
| 12.00-12.20 | [1A4] A stochastic event generation simulator for dynamic risk assessment and maintenance decision support in aircraft systems A Morel¹, O Magassa¹, A Cantez¹, Y Farez¹, F Silva de Souza Aguiar¹, K Kabkoub¹, A Diallo¹ and J Lacaille² ¹Sorbonne Paris Nord University, France ²Safran Aircraft Engines, France | [3B3] Reliability beyond maintenance P Price Reliability Consultant, UK | |
| 12.20-13.30 | Lunch – Room: Grand Boardroom Exhibition – Room: Grand Boardroom | ||
| 12.30- 13.30 | International Scientific Advisory Committee Meeting (working lunch by invitation only) Chair: Professor L Gelman, University of Huddersfield, UK Room: Chairman’s Suite | ||
| 13.30-14.00 | Plenary Keynote Lecture [2A0]: The future of condition monitoring on modern roll grinding machines M Diskin, Halifax Numerical Controls (HNC) Ltd, UK Chair: Professor L Gelman, University of Huddersfield, UK Room: Grand Boardroom | ||
| Session A – Condition monitoring methods and technologies Chair: D Manning-Ohren Room: Chairman’s Suite | |||
| 14.00-14.20 | [2B1] Fault intelligent diagnosis of rotating machinery based on sound signal S Yang, F Tu and T Zhang Sichuan University, China | ||
| 14.20-14.40 | [2B4] Quality of service and quality of experience investigations for video transmission over mobile ad hoc networks A Abdussalam and R Saatchi Sheffield Hallam University, UK | ||
| 14.40-15.00 | Quantity versus quality D Manning-Ohren Rubix UKII, UK | ||
| 15.00-15.20 | [2B2] Topological digital twins for remote condition monitoring S Soleimanian¹, S Theodossiades² and R McKay¹ ¹PSW Integrity Ltd, UK ²Loughborough University, UK | ||
| 15.20-15.40 | Tea and Coffee – Room: Grand Boardroom Exhibition – Room: Grand Boardroom | ||
| Session A – Thermography for condition monitoring and NDT Chair: D Manning-Ohren Room: Grand Boardroom | Session B – Non-linear dynamics and digital twins for condition monitoring Chairs: Dr M Molaie and Professor A Zippo Room: Chairman’s Suite | ||
| 15.40-16.00 | [3A1] Safer thermography severity extrapolation on low-energy electrical circuits D Manning-Ohren Rubix UKII, UK | [6B3] AI-based diagnostics and prognostics for vibration monitoring of a plastic-metal gear transmission A Zippo, F Pellicano and M Molaie University of Modena and Reggio Emilia, Italy | |
| 16.00-16.20 | [3A2] Emittance measurements on ambient materials using a thermal imager J DeMonte T5 Data Centers, USA | [6B4] Distinguished overview speaker: Chaos characterisation in spiral bevel gears A Zippo, F Pellicano and M Molaie University of Modena and Reggio Emilia, Italy | |
| 16.20-16.40 | [3A3] Non-destructive testing infrared thermography of an LPG refractory installed in a liquefied natural gas plant E Pereira Glasgow Caledonian University, UK | [6B5] Experimental study on post-buckling non-linear dynamics of a bio-inspired beam A Zippo, F Pellicano and M Molaie University of Modena and Reggio Emilia, Italy | |
| 16.40 17.15 | Conference close for the day Evening event – meeting point: hotel foyer at 17.45 for 1.5 hour walking tour of York (18.00), followed by a restaurant meal at Ate O’clock, 13a High Ousegate, York YO1 8RZ, UK | ||
| Wednesday 10 June 2026 | |||
| 08.00 | Registration – Room: Grand Boardroom Foyer Tea and Coffee – Room: Grand Boardroom Exhbition – Room: Grand Boardroom | ||
| 09.00-09.30 | Plenary Keynote Lecture [4A0]: A discussion on the accuracy of online oil monitoring G Zheng, Shenzhen Yateks Co Ltd, China Chair: Professor L Gelman, University of Huddersfield, UK Room: Grand Boardroom | ||
| Session A – Vibration monitoring and signal analysis Chair: Dr E Juuso Room: Grand Boardroom | |||
| 09.30-09.50 | [4A2] Update on VA training and certification S Mills SpectrumCBM Ltd, UK | ||
| 09.50-10.10 | [5A2] Vibration analysis case studies and diagnostic challenge D Whittle RMS Ltd, UK | ||
| 10.10-10.30 | [5A3] Industry condition monitoring case study D Whittle RMS Ltd, UK | ||
| 10.30-11.10 | Tea and Coffee – Room: Grand Boardroom Exhibition – Room: Grand Boardroom | ||
| Session A – Vibration monitoring and signal analysis Chair: Dr E Juuso Room: Grand Boardroom | Session B – Oil analysis and tribology Chair: S Greenfield Room: Chairman’s Suite | ||
| 11.10-11.30 | [5A4] From vibration to vision: how multi-sensor data fusion enables earlier fault detection in industrial assets L Grice-Lowe MultiSensor AI, USA | [5B1] Large fan aircraft engine bearing monitoring: present and future S Greenfield Anokhi Consulting Engineers, UK | |
| 11.30-11.50 | [4B1] Intelligent stress and condition indicators for adaptation of control actions E Juuso University of Oulu, Finland | [5B2] Why normal isn’t always ‘normal’ in lubrication analysis A Cutler Oil Analysis Laboratories Ltd, UK | |
| 11.50-12.10 | [8A2] Case study in the use of current and voltage monitoring to diagnose and give new insights into the behaviour of a series of large centrifugal pumps: mechanical, electrical, fluid flow and installation environment effects G Walker Faraday Predictive Ltd, UK | [5B3] Multi-sensor diagnostic approaches for detecting fuel and hydraulic fluid contamination in marine engine oils S Banerjee, T Mack, G Horwich and K Meissner Gastops Ltd, Canada | |
| 12.10-12.30 | [8A3] Using inverter drive data as performance and condition monitoring indicators D Manning-Ohren Rubix UKII, UK | [5B4] Oil quality sensors: an overview S Greenfield Anokhi Consulting Engineers, UK | |
| 12.30-13.30 | Lunch – Room: Grand Boardroom Exhibition – Room: Grand Boardroom | ||
| 13.30-14.00 | CM Innovation Award Plenary Lecture [6A0]: From iron to intelligence: transforming a capital equipment business into a data-driven reliability partner Professor M Ridgway, Group Rhodes, UK Chair: Professor L Gelman, University of Huddersfield, UK Room: Grand Boardroom | ||
| Session A – Workshop Room: Grand Boardroom | |||
| 14.00-14.45 | Workshop – Key steps in implementing condition monitoring S Mills SpectrumCBM Ltd, UK | ||
| Session A – Data-driven and physics-based modelling for asset condition monitoring and management Chair: Dr A Rahbarimanesh Room: Grand Boardroom | |||
| 14.45-15.05 | [6A3] Integrating condition monitoring into an AI-enabled digital twin framework for dynamic FMECA and RCM implementation A Khezam University of Manchester, UK | ||
| 15.05-15.25 | [6A4] Application of a data-driven dynamic process modelling framework to improve the condition monitoring of a liquefied petroleum gas refrigeration unit S Rahbarimanesh¹ and A Rahbarimanesh² ¹University of British Columbia, Canada ²University of Manchester, UK | ||
| 15.25-15.45 | Tea and Coffee – Room: Grand Boardroom Exhibition – Room: Grand Boardroom | ||
| 15.45-16.05 | [6A5] Application of supervised learning and multi-criteria decision-making for condition monitoring of industrial assets A Rahbarimanesh¹, M Burrows² and S Rahbarimanesh³ ¹University of Manchester, UK ²RS Group plc, UK ³University of British Columbia, Canada | ||
| 16.05-16.25 | [6A6] Project nautilUS +: towards an autonomous robotic technology for smart floor thickness monitoring of hazardous liquid storage tanks A Rahbarimanesh¹ and M Burrows² ¹University of Manchester, UK ²RS Group plc, UK | ||
| 16.25-17.10 | Workshop – Condition monitoring and beyond with interactive challenges D Whittle RMS Ltd, UK | ||
| 17.10 19.30 20.00 | Conference close for the day Evening event: Pre-dinner drinks – Room: Grand Boardroom Conference Dinner – Room: Grand Boardroom | ||
| Thursday 11 June 2026 | |||
| 08.00 | Registration – Room: Grand Boardroom Foyer Tea and Coffee – Room: Grand Boardroom | ||
| 09.00-09.30 | Plenary Keynote Lecture [7A0]: Marine robotic systems for condition monitoring Professor M Papaelias, University of Birmingham, UK Chair: Professor L Gelman, University of Huddersfield, UK Room: Grand Boardroom | ||
| Session A – Condition monitoring methods and technologies Chair: Professor M Behzad Room: Grand Boardroom | Session B – Condition monitoring methods and technologies Chair: Dr E Juuso Room: Chairman’s Suite | ||
| 09.30-09.50 | [8B3] Distinguished overview speaker: Accelerometers versus non-contact sensors in condition monitoring M Behzad Sharif University of Technology, Iran | [7B1] Distinguished overview speaker: The importance of multiple data sources for condition monitoring: a wind industry case study D Hickey Natural Power, UK | |
| 09.50-10.10 | [7A1] Early detection of rolling element bearing defects in a ball mill motor using multi-domain vibration analysis and AI-assisted diagnostics A Mangouri¹, M Akbari¹ and S Atazadeh² ¹Islamic Azad University, Iran ²TPT Company, Iran | [7B2] Distinguished overview speaker: Algorithm for collection and control of operational risks for decision-making J Lacaille Safran Aircraft Engines, France | |
| 10.10-10.30 | [7A2] Direct geometric information embedded in vibration autocorrelation: a case study on low-speed gear tooth profile measurement A Mangouri¹, M Akbari¹ and S Atazadeh² ¹Islamic Azad University, Iran ²TPT Company, Iran | [7B3] Distinguished overview speaker: Intelligent condition monitoring for engineering asset management E Juuso University of Oulu, Finland | |
| 10.30-11.00 | Tea and Coffee – Room: Grand Boardroom | ||
| Session A – Condition monitoring methods and technologies Chair: Professor M Behzad Room: Grand Boardroom | Session B – Condition monitoring methods and technologies Chair: Professor N Vyas Room: Chairman’s Suite | ||
| 11.00-11.20 | [8A1] Progressive rotor bar fault diagnosis in a 9 MW induction motor: a vibration-based case study A Mangouri¹, M Akbari¹ and S Atazadeh² ¹Islamic Azad University, Iran ²TPT Company, Iran | [8B2] Novel vibration diagnosis technology for lubrication deficiency in rolling bearings L Gelman and R Kerrouche University of Huddersfield, UK | |
| 11.20-11.40 | [8B1] Distinguished overview speaker: AeroTwinX™: a physics-aware, AI-enabled digital twin framework for aero engines N Vyas Indian Institute of Technology Kanpur, India | ||
| 11.40-12.10 | Plenary Keynote Lecture [9A0]: From alarms to action: a closed-loop condition monitoring framework for large wind turbines Professor W Yang, University of Huddersfield, UK Chair: Professor L Gelman, University of Huddersfield, UK Room: Grand Boardroom | ||
| 12.10-13.00 | Panel Session: Future directions in condition monitoring Chair: Professor L Gelman, University of Huddersfield, UK Room: Grand Boardroom | ||
| 13.00-13.10 | Conference Closing Ceremony and the Len Gelman Best Paper Award Ceremony Room: Grand Boardroom | ||
| 13.10-14.10 | Lunch – Room: Grand Boardroom | ||
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: conf@bindt.org; Web: www.cm-mfpt.org








