Key dates and participating speakers
Tuesday 7 to Thursday 9 June 2022
Radisson Hotel and Conference Centre, London Heathrow, 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) | 8 April 2022 | ||
| Notification of full-length paper acceptance (not later than) | 22 April 2022 | ||
| Early registration | 13 May 2022 | ||
| Speaker registration | 13 May 2022 | ||
| Plenary speakers |
| Speakers | Title | ||
| Dr G Herborg-Enevoldsen and Dr C Svendsen | Time and frequency domain study of failure development in axial piston pumps | ||
| Professor D Galar | Digital twins as condition monitoring enablers: the swan song approach | ||
| Dr D Hickey | Ignore condition monitoring systems at your peril | ||
| Professor H Karimi | High performance of prediction methods for autonomous grinding in mining industry | ||
| Dr J Lacaille | A novel approach to digital clone for turbofan engines | ||
| Dr R Lane | No news is good news – or is it? Condition monitoring for anomaly detection | ||
| Structured session organisers |
| Speakers | Title | ||
| Dr C Brett | Drones | ||
| Professor L Gelman | Novel and classical signal processing for condition monitoring, structural health monitoring and non-destructive testing | ||
| S Greenfield | Oil and oil debris monitoring | ||
| Professor A Hope | Vibration monitoring and analysis | ||
| Dr E Juuso | Advanced signal processing and diagnostics in condition monitoring | ||
| Dr A Kostyukov | Real-time machinery monitoring systems | ||
| Professor L Kuravsky | Trained structures and statistical methods in condition monitoring | ||
| Dr J Liska | Condition monitoring and diagnostics of machine components | ||
| S Mills | The relationship of condition monitoring to non-destructive testing and structural health monitoring | ||
| Professor S Noroozi | Bio-mechanical health condition monitoring | ||
| Professor F Pellicano | New technologies for gearbox prognosis, diagnostics, monitoring, testing and modelling | ||
| Dr A Rahbarimanesh | AI-enabled decision support systems (AI-DSS) for enhanced asset condition monitoring | ||
| Professor R Serra | Vibration-based condition monitoring | ||
| Professor L Wang | Machine learning for smart systems | ||
| D Whittle | Visualisation of vibration for root cause analysis and rectification | ||
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
