CM 2024
Tuesday 18 to Thursday 20 June 2024
Milton Hill House, Oxford, UK
| Sponsorsored by |
 |  |  | |
| Reliability Maintenance Solutions | Sensonics Ltd | SpectraQuest Inc | |
| About the International Conference |
The British Institute of Non-Destructive Testing (BINDT) was pleased to invite delegates to this premier event, the Twentieth International Conference on Condition Monitoring and Asset Management (CM 2024).
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 builds on the highly successful 19 international condition monitoring (CM) conferences organised by BINDT, the First World Congress on CM in 2017 organised by BINDT and ISCM and 72 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 twentieth international conference, the Institute will be providing sponsorship of student registrations in 2024, resulting in a reduction of fees for student attendance.
Proceedings of the CM 2024 Conference are available via Ingenta Connect at: https://www.ingentaconnect.com/content/bindt/iccmam
BINDT members have free access to the proceedings via the link in their MyBINDT area.
| Exhibitor | Stand Number | Website | |||
| BINDT | 2 |  www.bindt.org | |||
| Faraday Predictive Ltd | 3 |  www.faradaypredictive.com | |||
| RMS Ltd | 6 | www.rms-reliability.com | |||
| Sensonics Ltd | 5 | www.sensonics.co.uk | |||
| SpectrumCBM Ltd | 1 |  www.spectrumcbm.co.uk | |||
| Yateks Co Ltd | 4 |  www.yateks.com | |||
| Monday 17 June 2024 | |
| 16.00-19.00 | Registration – Room A: Wisteria |
| 19.00-21.00 | Welcome Buffet – Room: Pergola Tea and Coffee – Room: Pergola |
| Tuesday 18 June 2024 | |||
| 08.00 | Registration – Room A: Wisteria Tea and Coffee – Room: Pergola Exhbition – Room A: Wisteria | ||
| 09.00-09.20 | Opening Ceremony – Welcome and introduction Professor L Gelman, UK, D Gilbert, UK, and Dr S Baboo, Singapore Chair: Professor L Gelman, University of Huddersfield, UK Room A: Wisteria | ||
| 09.20-09.50 | Plenary Keynote Lecture [1A0]: Health monitoring with vibrations at Safran Aircraft Engines: an overview of the ‘doing well’ and the ‘I would like’ J Griffaton, France Chair: Professor L Gelman, University of Huddersfield, UK Room A: Wisteria | ||
| 09.50-10.20 | Exhibitor Spotlight Session 09.50-09.55 – SpectrumCBM Ltd 09.55-10.00 – RMS Ltd 10.00-10.05 – Yateks Co Ltd 10.05-10.10 – BINDT 10.10-10.15 – Faraday Predictive Ltd 10.15-10.20 – Sensonics Ltd Chair: Professor A Hope Room A: Wisteria | ||
| 10.20-11.00 | Tea and Coffee – Room: Pergola Exhibition – Room A: Wisteria | ||
| Session A – Data-driven and physics-based modelling for condition monitoring of industrial assets Chair: Dr A Rahbarimanesh Room A: Wisteria | Session B – Innovations in signal processing and modelling for complex industrial systems Chairs: Professor F Pellicano and Dr A Zippo Room B: Crimson Birch | ||
| 11.00-11.20 | [1A1] Application of machine learning in computational fluid dynamics-based design and optimisation of turboexpanders used in natural gas pressure reduction stations S Rahbarimanesh¹, A Nejat², A Rahbarimanesh³ and S Mousavi² ¹University of British Columbia, Canada ²University of Tehran, Iran ³University of Manchester, UK | [1B1] Lateral bearing stiffness effect on the spiral bevel gear non-linear vibration response F Samani¹,², M Molaie², S Rakhshani¹, M Asadi¹, R Ebrahimnejad², A Zippo², G Iarriccio² and F Pellicano² ¹Shahid Bahonar University of Kerman, Iran ²University of Modena and Reggio Emilia, Italy | |
| 11.20-11.40 | [1A2] Machine learning-enabled decision support system (ML-DSS) for asset condition monitoring A Rahbarimanesh¹, M Burrows² and S Rahbarimanesh³ ¹University of Manchester, UK ²RS Group plc, UK ³University of British Columbia, Canada | [1B2] Dynamical response of electrical transmission system R Ebrahimnejad, M Molaei, G Iarriccio, A Zippo and F Pellicano University of Modena and Reggio Emilia, Italy | |
| 11.40-12.00 | [1A3] Project nautilUS +: a fully 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 | [2B2] Matsuoka non-linear oscillator integration for investigating Parkinsonian tremor dynamics through multi-body simulation A Zippo and F Pellicano University of Modena and Reggio Emilia, Italy | |
| 12.00-12.20 | [1A4] Extending B-COSFIRE for automatic extraction of craquelure M Fernandes¹,², R Araújo¹, G Almeida¹ and S Paredes² ¹JTA – The Data Scientists, Portugal ²Polytechnic Institute of Coimbra, Portugal | [1B3] Fault diagnosis for rotating machine based on Mel spectrogram and residual neural network F Tu, S Yang and J Yang Sichuan University, China | |
| 12.20-13.30 | Lunch – Room: Orchid Exhibition – Room A: Wisteria | ||
| 12.30-13.30 | International Scientific Advisory Committee Meeting (working lunch by invitation only) Room B: Crimson Birch | ||
| 13.30-14.00 | Plenary Keynote Lecture [2A0]: Enhancing asset integrity in the oil & gas industry through condition monitoring of storage infrastructures: a sensor-based approach Dr S Babu, Singapore Chair: Professor L Gelman, University of Huddersfield, UK Room A: Wisteria | ||
| 14.00-14.10 | CM Book Update Professor A Hope, UK Chair: Professor L Gelman, University of Huddersfield, UK Room A: Wisteria | ||
| Session A – Advances in interpretable condition monitoring and diagnostic methods Chair: Professor D Wang Room A: Wisteria | Session B – Induction and PM motor condition monitoring and diagnostics Chairs: D Whittle Room B: Crimson Birch | ||
| 14.10-14.30 | [2A1] Interpretable fusion methodology of health indices and multi-dimensional analogue on complex industrial turbine cavitation condition monitoring Y Fu¹, D Wang¹ and Z Peng¹,² ¹Shanghai Jiao Tong University, China ²Ningxia University, China | [1B4] Distinguished Overview Lecture: Difference mode decomposition: the uniqueness of classical Fourier transform for machine condition monitoring D Wang Shanghai Jiao Tong University, China | |
| 14.30-14.50 | [2A2] Composite health index construction for online monitoring based on control chart performance optimisation Y Wang, D Wang and B Hou Shanghai Jiao Tong University, China | [2B1] Presentation cancelled due to ill health | |
| 14.50-15.10 | [2A3] Aero engine remaining life prediction based on grey similarity multi-scale matching S Sun¹,², H Huang¹, J Ding¹, W Lu¹,² and D Wang³ ¹Harbin Institute of Technology, China ²Guangdong Provincial Key Laboratory of Intelligent Morphing Mechanisms and Adaptive Robotics, China ³Shanghai Jiao Tong University, China | [2B3] Presentation cancelled due to ill health | |
| 15.10-15.30 | [2A4] Gaussian assumptions free interpretable linear discriminant analysis for machine condition monitoring Y Chen and D Wang Shanghai Jiao Tong University, China | [2B4] Presentation cancelled due to ill health | |
| 15.30-15.50 | Tea and Coffee – Room: Pergola Exhibition – Room A: Wisteria | ||
| Session A – Computer vision and deep learning for structural health monitoring of renewable energy Chair: Professor M Shafiee Room A: Wisteria | Session B – Condition monitoring methods and technologies Chair: D Whittle Room B: Crimson Birch | ||
| 15.50-16.10 | [3A1] Computer vision and deep learning for structural health monitoring of wind turbines M Shafiee University of Surrey, UK | [3B1] A concise review of transfer learning and generative learning for autonomous and robotic systems fault detection and diagnosis C Li and L Zhang University of Manchester, UK | |
| 16.10-16.30 | [3A2] Monitoring mooring lines of floating offshore wind turbines: autoregressive coefficients and stacked auto-associative deep neural networks S Sharma¹ and V Nava¹,² ¹Basque Center for Applied Mathematics, Spain ²Tecnalia, Spain | [3B2] Gearbox fault detection method under unseen working conditions and damage S Wang, Y Vidal and F Pozo Universitat Politècnica de Catalunya, Spain | |
| 16.30-16.50 | [3A3] The application of the process capability index (PCI) in a fatigue test of a tidal turbine blade using historic and real-time load data M Munko, K Connolly, F Cuthill, M Valdivia Camacho, E McCarthy and S Lopez Dubon University of Edinburgh, UK | [3B4] The monitoring of exhaust particulate from a marine diesel engine J Harris Defence Science and Technology Group, Australia | |
| 16.50 17.15 | Conference close for the day Evening event – Walking tour of Oxford City Centre and a meal at the Côte Restaurant. This is a ticketed event. If you wish to attend but do not have a ticket, please contact the BINDT registration desk. This is subject to availability, as places are limited. Please assemble at the main entrance to Milton Hill House to leave at approximately 17.15. | ||
| Wednesday 19 June 2024 | |||
| 08.00 | Registration – Room A: Wisteria Tea and Coffee – Room: Pergola Exhbition – Room A: Wisteria | ||
| 09.00-09.30 | Plenary Keynote Lecture [4A0]: Vibration feature selection for machinery condition monitoring Professor M Behzad, Iran Chair: Professor L Gelman, University of Huddersfield, UK Room A: Wisteria | ||
| Session A – Condition monitoring management, training and certification Chair: S Mills Room A: Wisteria | Session B – AI in condition monitoring Chair: D Manning-Ohren Room B: Crimson Birch | ||
| 09.30-09.50 | [4A1] Condition monitoring and failure analysis of a liquefied natural gas plant cryogenic heavies removal column reflux pump E Pereira Glasgow Caledonian University, UK | [4B1] Alleviating limited dataset in inter-shaft bearing fault diagnosis based on multi-source information with information discriminator Y Yu and H R Karimi Politecnio di Milano, Italy | |
| 09.50-10.10 | [4A2] A case study in using motor current to diagnose a long-standing mystery in a seawater lift pump A Jones and A Bates Faraday Predictive Ltd, UK | [4B2] A post-hoc analysis of deep learning approach for cracks identification in concrete structures M Sohaib¹, M Junayed Hasan² and Z Zheng¹ ¹Zhejiang Normal University, China ²Robert Gordon University, UK | |
| 10.10-10.30 | [4A3] Effective conference presenting S Mills SpectrumCBM Ltd, UK | [4B3] Enhancing gas pipeline monitoring with graph neural networks: a new approach for acoustic emission analysis under variable pressure conditions M Junayed Hasan¹, M Arifeen¹, M Sohaib², A Rohan¹ and S Kannan¹ ¹Robert Gordon University, UK ²Zhejiang Normal University, China | |
| 10.30-11.10 | Tea and Coffee – Room: Pergola Exhibition – Room A: Wisteria | ||
| Session A – General condition monitoring Chair: Professor A Hope Room A: Wisteria | Session B – AI in condition monitoring Chair: Dr J Griffaton Room B: Crimson Birch | ||
| 11.10-11.30 | [5A1] Visualising vibration: a ‘gamechanger’ for troubleshooting, diagnostics and root cause analysis D Whittle RMS Ltd, UK | [5B1] Modelling of the vibratory response of an aircraft engine using AI J Gomez and J Griffaton Safran Aircraft Engines, France | |
| 11.30-11.50 | [5A2] Update on ISO standards in condition monitoring S Mills SpectrumCBM Ltd, UK | [5B2] Presentation cancelled | |
| Session A – Vibration monitoring and analysis Chair: Professor A Hope Room A: Wisteria | Session B – Human dynamics and health-related condition monitoring Chair: Professor S Noroozi Room B: Crimson Birch | ||
| 11.50-12.10 | [5A3] Mind the gap D Manning-Ohren Eriks, UK | [5B3] Cadaveric testing of a novel sensor for non-destructive load balancing in total knee replacements (TKRs) S Al-Nasser, S Noroozi and A Harvey Bournemouth University, UK | |
| 12.10-12.30 | [5A4] Instrumentation condition monitoring vibration and failure analysis of screw air compressor package in liquefied natural gas plant E Pereira Glasgow Caledonian University, UK | [5B4] The need for monitoring deltoid tension and shoulder kinematics during a total reverse shoulder arthroplasty (RSA) S Noroozi, N Aslani, S Al-Nasser and R Hartley Bournemouth University, UK | |
| 12.30-13.30 | Lunch – Room: Orchid Exhibition – Room A: Wisteria | ||
| 13.30-14.00 | Plenary Keynote Lecture [6A0]: Ultra-fast laser ultrasonics-enabled multi-scale material characterisation Professor Z Su, Hong Kong Chair: Professor L Gelman, University of Huddersfield, UK Room A: Wisteria | ||
| Session A – General condition monitoring Chair: S Greenfield Room A: Wisteria | Session B – Advanced signal processing and diagnostics in condition monitoring Chair: Dr E Juuso Room B: Crimson Birch | ||
| 14.00-14.20 | [6A1] Criticality, risk assessment and cost-effective condition monitoring examples S Greenfield Anokhi Consulting Engineers, UK | [6B1] Natural language-based information in intelligent condition monitoring and control E Juuso University of Oulu, Finland | |
| 14.20-14.40 | [6A2] Varnish in oil: the true amount R Cutler Oil Analysis Laboratories, UK | [6B2] Estimation of remaining useful life (RUL) of rolling element bearings based on the adaptive kernel Kalman filter Z Li, R Zhu, T Verwimp, H Wen and K Gryllias KU Leuven, Belgium | |
| Session A – General condition monitoring continued Chair: S Greenfield Room A: Wisteria | Session B – General condition monitoring Chair: to be confirmed Room B: Crimson Birch | ||
| 14.40-15.00 | [6A3] Monitoring energy recovery in a full-scale fatigue test M Munko¹, S Lopez Dubon¹, F Cuthill¹, W Rampen¹ and C Ó Brádaigh² ¹University of Edinburgh, UK ²University of Sheffield, UK | ||
| 15.00-15.20 | [6A4] Impulsive mode decomposition and its four application cases to impulsive signal extraction B Hou and D Wang Shanghai Jiao Tong University, China | [6B4] Long-term ferritic steel pipeline monitoring at 500°C: ultrasonic sensors (EMATs) for accurate thickness monitoring N Lunn¹, M Potter¹ and S Dixon² ¹Sonemat Ltd, UK ²University of Warwick, UK | |
| 15.20-15.40 | Tea and Coffee – Room: Pergola Exhibition – Room A: Wisteria | ||
| Session A – Workshops Chair: S Greenfield Room A: Wisteria | |||
| 15.40-16.20 | Workshop – An introduction to oil debris monitoring technologies S Greenfield Anokhi Consulting Engineers, UK | ||
| 16.20-17.10 | Workshop – Vibration analysis diagnostics and case study challenge D Whittle RMS Ltd, UK | ||
| 17.10 19.30 20.00 | Conference close for the day Evening event: Pre-dinner drinks – Room: Pergola Conference Dinner – Room A: Wisteria | ||
| Thursday 20 June 2024 | |||
08.00 | Registration – Room A: Wisteria | ||
09.00-09.30 | Plenary Keynote Lecture [7A0]: Non-contact-based sensing: fundamentals, impact and challenges | ||
Session A – General condition monitoring | Session B – NDT and SHM | ||
09.30-09.50 | In search of information: application of vibroacoustic methods in transport engineering | [7B1] Non-destructive evaluation of debonding in composites using air-coupled coda wave analysis and local defect resonance techniques | |
09.50-10.10 | [7A2] Artificial intelligence on wind turbines | [7B2] Construction of tensile curves via conformal prediction | |
10.10-10.30 | [7A3] Distinguished Overview Lecture: Challenges in condition monitoring for industry, academics and standardisation organisations | [7B3] Distinguished Overview Lecture: Automated defect detection in aeronautic materials using machine learning and neural networks | |
10.30-11.00 | Tea and Coffee – Room: Pergola | ||
Session A – General condition monitoring | Session B – Maintenance | ||
11.00-11.20 | [8A1] Distinguished Overview Lecture: Quantum physics and artificial intelligence: current challenges and opportunities in technical diagnostics and condition monitoring | [8B1] An individual report reviewing the current maintenance effectiveness of a safety-critical site (ABC Chemical Manufacturers) | |
11.20-11.40 | [8A2] Novel condition monitoring technologies via motor current signature analysis | ||
11.40-12.00 | [8A3] Distinguished Overview Lecture: Assessing the success or failure of a reliability engineering programme in the wind industry | ||
12.00-12.30 | Plenary Keynote Lecture [9A0]: Condition monitoring of aero engines: big data challenges and a comparison to NDT | ||
12.30-13.30 | Panel Session: future directions in condition monitoring | ||
13.30-13.35 | Conference Closing Ceremony and the Len Gelman Best Paper Award Ceremony | ||
13.35-14.30 | Lunch – Room: Orchid | ||
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
