Key dates and participating speakers
Tuesday 12 to Thursday 14 September 2023 Northampton Town Centre Hotel, Northampton, UK

Key dates | |||
Submission of proposals for structured sessions | Still accepting (subject to availability) | ||
Deadline for structured session abstract submission | Still accepting (subject to availability) | ||
Deadline for general abstract submission (not more than 200 words) | Still accepting (subject to availability) | ||
Notification of abstract acceptance (not later than) | Still accepting (subject to availability) | ||
Deadline for submission of full-length papers (to ensure publication of your paper you must adhere to this date; any papers submitted after this date will not be included) | Still accepting (subject to availability) | ||
Notification of full-length paper acceptance (not later than) | 9 June 2023 | ||
Early registration | 4 August 2023 | ||
Speaker registration | 4 August 2023 |
Plenary speakers |
Speakers | Title | ||
Professor G Enevoldsen and Dr C Svendsen | Novel condition monitoring of axial piston pumps | ||
Dr A Masoumi | Drivetrain health management in agricultural vehicles 4.0 | ||
Professor R Mishra | Digital twins for condition monitoring of mechanical systems | ||
Tim Stevenson | Ultrasonic condition monitoring in extreme environments | ||
N S Vyas | Data-driven integration and deep learning analytics for large systems |
Keynote Speakers |
Speakers | Title | ||
Professor R Smid | Digital twin for CM of actuators |
Structured session organisers |
Speakers | Title | ||
Dr L Alboul | Digital and assistive health technologies: Developments, innovations and opportunities | ||
T Bradshaw | Acoustic emission for condition monitoring | ||
Dr S Ganeriwala | Induction machine condition monitoring and diagnostics | ||
Professor L Gelman | General condition monitoring and signal processing | ||
S Greenfield | Lubricant analysis, quality and debris monitoring | ||
Oil analysis and debris monitoring | |||
Professor A Hope | Vibration monitoring and analysis | ||
Dr E Juuso | Advanced signal processing and diagnostics in condition monitoring | ||
Dr M Khan | Empirical modelling for predicting mechanical performance and failures | ||
S Mills | Condition monitoring training and certification | ||
ISO 17359 – key steps to implementing condition monitoring | |||
Professor S Noroozi | Transduce technologies for monitoring biomechanics of joints during orthopaedic surgery | ||
Professor F Pellicano and Dr A Zippo | Signal processing and modelling of complex systems | ||
Dr A Rahbarimanesh | Application of data-driven and physics-based modelling for asset condition monitoring | ||
D Whittle | Vibration analysis practical workshop with case studies |
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