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  
 


Gastops LtdReliability 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
RegistrationRoom: Grand Boardroom Foyer
19.00-21.00Welcome Buffet – Room: Chairman’s Suite

Tuesday 9 June 2026
08.00
RegistrationRoom: Grand Boardroom Foyer
Tea and CoffeeRoom: Grand Boardroom
Exhbition – Room: Grand Boardroom
09.00-09.20Opening Ceremony – Welcome and introduction
Professor L Gelman, University of Huddersfield, UK

Room: Grand Boardroom
09.20-09.50Plenary 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
09.50-10.30Exhibitor 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
10.30-11.00Tea and CoffeeRoom: 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 LunchRoom: Grand Boardroom
ExhibitionRoom: Grand Boardroom
12.30- 13.30International 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 CoffeeRoom: Grand Boardroom
ExhibitionRoom: 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
RegistrationRoom: Grand Boardroom Foyer
Tea and CoffeeRoom: Grand Boardroom
Exhbition – Room: Grand Boardroom
09.00-09.30Plenary 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 CoffeeRoom: Grand Boardroom
ExhibitionRoom: 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 LunchRoom: Grand Boardroom
ExhibitionRoom: 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 CoffeeRoom: Grand Boardroom
ExhibitionRoom: 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 DinnerRoom: Grand Boardroom


Thursday 11 June 2026
08.00
RegistrationRoom: Grand Boardroom Foyer
Tea and CoffeeRoom: Grand Boardroom
09.00-09.30Plenary 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 CoffeeRoom: 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
13.00-13.10Conference 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