Programme

Tuesday 12 to Thursday 14 September 2023
Northampton Town Centre Hotel, Northampton, UK

Sponsors


Qingcheng AE Institute (Guangzhou) Co Ltd	Reliability Maintenance Solutions	Sensonics Ltd

	SpectraQuest Inc

Monday 11 September 2023
16.00-19.00	Registration – Hotel Foyer
19.00-21.00	Welcome Buffet – Hotel Restaurant

Tuesday 12 September 2023
08.00	Registration – Hotel Foyer Tea and Coffee – Buckingham Suite
08.45-08.55	Opening Ceremony: Welcome and introduction I Cooper, D Gilbert and L Gelman Room A
08.55-09.35	Opening Plenary Paper – Roy Sharpe Prize Lecture: Five decades of phased array ultrasound imaging: a personal view with the benefit of 20/20 hindsight D Lines, University of Strathclyde, UK Chair: Professor I Cooper, TWI, UK Room A
09.35-10.15	Plenary Paper – COMADIT Prize Lecture: Ultrasonic condition monitoring in extreme environments T Stevenson, Ionix Advanced Technologies, UK Chair: Professor L Gelman, University of Huddersfield, UK Room A
10.15-10.40 10.40-10.45	NDT Plenary Paper: Terahertz (THz): a new tool for non-destructive testing M Naftaly, Chair of the THz User Group, BINDT, UK and Introducing the new BINDT guidance document on ‘Qualification of NDT Systems’ T Bertenshaw, Chair of the Technique Validation and Qualification User Group, BINDT, UK Chair: Professor I Cooper, TWI, UK Room A
10.45-11.15	CM Plenary Paper: Data-driven integration and deep learning analytics for large systems N S Vyas, Indian Institute of Technology Kanpur, India Chair: Professor L Gelman, University of Huddersfield, UK Room A
11.15-11.20	Welcome from ICNDT S K Babu, Singapore Room A
11.20-11.50	Tea, Coffee and Exhibition – Buckingham Suite
	CM Session D – Condition monitoring training and certification Chair: S Mills Room D	CM Session E – Empirical modelling for predicting mechanical performance and failures Chair: Dr M Khan Room E	CM Session F – Failure analysis and fault diagnostics Chair: D Whittle Room F
11.50-12.10	[1D1] Developing a condition monitoring management certification S Mills SpectrumCBM Ltd, UK	[1E1] Method to relate degradation of fracture resistance due to corrosion with pipe leakage A Agala, M Khan and A Starr Cranfield University, UK	[1F1] Liquefied natural gas plant orbit valve risk-based failure analysis E Pereira Glasgow Caledonian University, UK
12.10-12.30	[1D2] Update on progress with NDT and condition monitoring apprenticeships S Mills SpectrumCBM Ltd, UK	[1E2] Limitations in the existing models for predicting accurate interdependencies between wear and friction noise M Kalifa, A Starr and M Khan Cranfield University, UK	[1F2] Condition monitoring and failure analysis of a liquefied natural gas plant cryogenic heavies removal column reflux pump E Pereira Glasgow Caledonian University, UK
12.30-12.50	[1D3] Condition monitoring of pitting evolution using multiple sensing Z Tian¹, S Wang¹, D Merk² and R Wood¹ ¹University of Southampton, UK ²Schaeffler Technologies AG & Co KG, Germany	[1E3] Ultrasonic guided wave attenuation in submerged steel pipes H Ezergani, M Khan, A U Syed and S Chukwuemeka Olisa Cranfield University, UK	[1F3] Liquefied natural gas plant maintenance: a case study of gas turbine centrifugal compressor thrust bearing failure analysis J Nilsa Coutinho Pereira Glasgow Caledonian University, UK
12.50-13.10	[1D4] Condition monitoring certification for reliability professionals D Shorten British Engineering Services Asset Reliability, UK	[1E4] Parametric analysis to investigate the modal response of PZT cantilever beams A Alnuman, M Khan and A Starr Cranfield University, UK	[1F4] Data analysis and fault-finding case study of a 660 MW steam turbine generator set in a power station Z Malik EDF Energy, UK
13.10-13.30	[1D5] University of Northampton experience with Level 6 NDT Engineer degree and apprenticeship A Bennecer and K J Kirk University of Northampton, UK	[1E5] Digital camera's parameter identification for vibration-based structural health monitoring under different dynamic responses Z Azouz, M Kuruvilla, M Khan and F He Cranfield University, UK
13.30-14.30 14.00-14.15	Lunch and Exhibition – Buckingham Suite Trade & Industry Annual General Meeting and Committee Meeting – Room C
	CM Session D – Digital and assistive health technologies: developments, innovations and opportunities Chair: Dr L Alboul Room D	CM Session E – Fault detection and diagnostics Chair: Dr M Khan Room E	CM Session F – Induction machine condition monitoring and diagnostics Chair: S Ganeriwala Room F
14.30-14.50	[2D1] A plethysmography investigation comparing respiration rate before onset and after the end of central sleep apnoea episodes A Abdussalam¹, R Saatchi¹, H Elphick² and R N Kingshott² ¹Sheffield Hallam University, UK ²Sheffield Children’s NHS Foundation Trust, UK	[2E1] Cavitation detection based on instantaneous angular speed T Verwimp¹, G Mousmoulis¹, K Gryllias¹ and A Hajnayeb² ¹KU Leuven, Belgium ²Shahid Chamran University of Ahvaz, Iran	[2F1] Loading effect on induction motor diagnostics using motor current signature and vibration analysis S Ganeriwala SpectraQuest Inc, USA
14.50-15.10	[2D2] Neonatal heart rate monitoring at birth with hands-free foetal doppler D Hutchon Sheffield Hallam University, UK	[2E2] Rotary-percussive drill bit condition prediction using traditional feature engineering and neural network-based feature extraction K Newman¹, C Mechefske¹, M Timusk² and D Helm² ¹Queen’s University, Canada ²Laurentian University, Canada	[2F2] Digital twin opportunities and modelling challenges for condition monitoring S Ganeriwala SpectraQuest Inc, USA
15.10-15.30		[2E3] The application of multiple statistical techniques to predict factors affecting non-communicable diseases (NCDs) among the OECD countries S Ampon-Wireko Catholic University College of Ghana, Ghana
15.30-16.00	Tea, Coffee and Exhibition – Buckingham Suite
	CM Session D – Machine learning for condition monitoring Chair: Dr T Stevenson Room D	CM Session E – Acoustic emission for condition monitoring Chair: T Bradshaw Room E	CM Session F – Maintenance management Chair: S Mills Room F
16.00-16.20	[2D4] Use of digital image correlation and machine learning for the optimal strain placement in a full-scale composite tidal turbine blade J McLoughlin, M Munko, M Valdivia Camacho, F Cuthill and S Lopez Dubon University of Edinburgh, UK	[2E4] Subsea acoustic emission monitoring of offshore structures R Marks Mistras Group Ltd, UK	Distinguished overview lecture: [2F4] Condition monitoring within the wind industry: how to get more from your data D Hickey Natural Power, UK
16.20-16.40	[2D5] A novel printed sparse array for ultrasonic wide area corrosion monitoring utilising condition monitoring machine learning M McInnes, C Dick, C Thring, D Irving and D Hughes Novosound Ltd, UK	[2E5] Application of acoustic emission to the condition monitoring of in-service low-speed bearings T Bradshaw Mistras Group Ltd, UK	[2F5] Computerised maintenance management systems (CMMSs) role in small and medium enterprises (SMEs) A Aliyu, D Baglee and D Dixon University of Sunderland, UK
16.40-17.00	CM Session D – Advanced signal processing and diagnostics in condition monitoring Chair: Dr E Juuso Room D	[2E6] In-service wind turbine blade monitoring O Ley, R Marks, T Bradshaw and V Godinez-Azcuaga Mistras Group Ltd, UK	[2F6] Measurement of maintenance planning and control effectiveness using the LEAN approach A Aziz¹, A Ompusunggu¹ and M Charil² ¹Cranfield University, UK ²Group Technical Solutions, Petronas, Malaysia
17.00-17.20	[2D6] Integration of natural language-based information in intelligent condition monitoring E Juuso University of Oulu, Finland	[2E7] SHM data combination J Burns Mistras Group Ltd, UK	[2F7] Developing infrastructure asset management system supported by geographic information system in Al Ain City, UAE: a case study E Al-Darmaki¹, M Abo-Hashema² and R Al-Neyadi¹ ¹Al Ain City Municipality, UAE ²Fayoum University, Egypt
17.20-17.40	[2D7] Title to be confirmed E Juuso University of Oulu, Finland	[2E8] Using audio data for anomaly detection in the fatigue test of a composite tidal turbine blade M Munko, M Valdivia Camacho, F Cuthill, C Ó Bradaigh and S Lopez Dubon University of Edinburgh, UK
17.40 18.15-21.30	Conference close for the day Evening function – A tour of Delapré Abbey followed by a two-course meal with wine. 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 of the Northampton Town Centre Hotel to depart at approximately 18.30.

To view the NDT 2023 programme for Tuesday 12 September 2023, click here.

Wednesday 13 September 2023
08.00	Registration – Hotel Foyer Tea, Coffee and Exhibition – Buckingham Suite
09.00-09.30	NDT Plenary Paper – Anne Birt Prize Winner Lecture: Insight on bespoke ultrasound phased arrays G Pierre, Sonaxis SA, France Chair: Professor I Cooper, TWI, UK Room A
09.30-10.00	CM Plenary Paper: Paper: Deep fault diagnosis, explainability and information fusion for rotary machinery H R Karimi, Italy Chair: Professor L Gelman, University of Huddersfield, UK Room A
	CM Session D – Oil analysis and debris monitoring Chair: S Greenfield Room D	CM Session E – Vibration monitoring and analysis Chair: Professor A Hope Room E	CM Session F – General condition monitoring and signal processing Chair: Professor F Pellicano Room F
10.00-10.20	[3D1] The mystery of the burning engine and the ship that could not sail R Cutler Oil Analysis Laboratories Ltd, UK	[3E1] Update on ISO standards in condition monitoring and vibration S Mills SpectrumCBM Ltd, UK	[3F1] Noise reduction for pipeline inspection utilising the split-spectrum processing method K Pedram¹ and M Ghafourian² ¹University of Greenwich, UK ²Brunel University London, UK
10.20-10.40	[3D2] A review of online oil quality sensors and the comparative merits of sensors and offline laboratory oil analysis S Greenfield Anokhi Consulting Engineers, UK	[3E2] Visualising vibration a ‘gamechanger’ for troubleshooting, diagnostics and root cause analysis D Whittle RMS Ltd, UK	[3F2] Wind turbine bearing fault diagnosis by maximum generalised Gaussian cyclostationarity blind deconvolution D Peng North China Electric Power University, China
10.40-11.10	Tea, Coffee and Exhibition – Buckingham Suite
11.10-11.30	[3D3] Oil analysis – Beyond routine D Korachkin Swansea Tribology Services, UK	[3E3] Non-condition monitoring readings for condition monitoring purpose D Manning-Ohren Eriks, UK	[3F3] Crack detection of powder metal and steel gears O Mohammed Prince Mohammad Bin Fahd University, Saudi Arabia
11.30-11.50	[3D4] Characterisation of wear debris generated in an engine test-rig: a case study T Nowell Intertek, UK	[3E4] Investigation into high vibration levels and performance issues with Alfa Laval horizontal centrifuge/decanter P Price CM Consultant	[3F4] An innovative hybrid approach for better detection of bearing faults in highly noisy environments A Kiakojouri¹, Z Lu¹, P Mirring², H Powrie³ and L Wang¹ ¹University of Southampton, UK ²Schaeffler Aerospace Germany GmbH, Germany ³GE Aviation, UK
11.50-12.10	NDT Plenary Paper: Bombs, bankruptcy and bigamy: Mary Maxwell-Channell's experiment in rural industrialisation H Close, WES, UK, and K Kirk, UK Chair: Professor I Cooper, TWI, UK Room A
12.10-12.30	BINDT's strategy for serving the NDT, CM and SHM community: a 2023 update D Gilbert, CEO, BINDT, UK Chair: Professor I Cooper, TWI, UK Room A
12.30-14.00 12.30 13.00	Lunch and Exhibition – Buckingham Suite BINDT Annual General Meeting – Room A Followed by Lunch and Exhibition – Buckingham Suite Benevolent Fund Annual General Meeting – Room A Followed by Lunch and Exhibition – Buckingham Suite
14.00-14.30	President's Honour Lecture: Present and future challenges for NDT in the nuclear industry G Innes, EDF Nuclear Operations, UK Chair: Professor I Cooper, TWI, UK Room A
14.00-14.30	CM Plenary Paper: Digital twins for condition monitoring of mechanical systems R Mishra and F Jackson, University of Huddersfield, UK Chair: Professor L Gelman, University of Huddersfield, UK Room D
	CM Session D – Lubricant analysis, quality and debris monitoring Chair: S Greenfield Room D	CM Session E – Vibration monitoring and analysis continued Chair: Professor A Hope Room E	CM Session F – Transduce technologies for monitoring biomechanics of joints during orthopaedic surgery Chair: Professor S Noroozi Room F
14.30-14.50	[4D1] Sustainability through circular use of lubricants J Thompson SKF Ltd, UK	[4E1] NDE 4.0 journey: concept to product launch D Manning-Ohren¹ and B De Jong² ¹Eriks, UK ²Calumino, Netherlands	CANCELLED [4F1] Body area sensing in human machine collaboration within industrial settings R Haratian Bournemouth University, UK
14.50-15.10	[4D2] The lubrication engineer is the useful human for the role of the modern reliability engineer D Shorten British Engineering Services Asset Reliability, UK	14.50-15.30 [4E2] Reliably centred condition-based maintenance (RCCBM): the implementation of optimum reliability through a viable condition-based maintenance delivery strategy and Accessing the full potential of condition-based maintenance in under 30 seconds P Price CM Consultant	[4F2] Load prediction using an intraoperative joint sensor and artificial neural network S Al-Nasser¹, S Noroozi¹, R Haratian¹, N Aslani² and A Harvey² ¹Bournemouth University, UK ²The Royal Bournemouth Hospital, UK
15.10-15.30	[2E9] Oil debris monitoring of wind turbines D Campbell Poseidon Systems LLC, USA		[4F3] An intelligent knee joint force tracking and balancing system using ANN S Noroozi¹, S Al-Nasser¹, N Aslani² and A Harvey³ ¹Bournemouth University, UK ²DIAD, UK ³The Royal Bournemouth Hospital, UK
15.30-15.50	[4D3] An introduction to oil debris monitoring S Greenfield Anokhi Consulting Engineers, UK	15.30-16.30 Induction motor diagnostics using motor current signature and vibration analysis S Ganeriwala SpectraQuest Inc, USA	[2D3] Condition monitoring machine learning explanations by design: a case study explaining the predicted degradation of a roto-dynamic pump O Amin¹, B Brown¹, B Stephen¹, S McArthur¹ and V Livina² ¹University of Strathclyde, UK ²National Physical Laboratory, UK
15.30-16.00	Tea, Coffee and Exhibition – Buckingham Suite Exhibition closes at 16.00
	CM Session D – Signal processing and modelling of complex systems Chairs: Professor F Pellicano and Dr A Zippo Room D	CM Session E – Vibration analysis practical workshop with case studies Chair: D Whittle Room E	CM Session F – ISO 17359 – Key steps to implementing condition monitoring Chair: S Mills Room F
16.00-16.20	[4D4] Non-linear dynamic behaviour of spiral bevel gear by considering the torsional shaft stiffness M Molaie¹, R Ebrahimnejad¹, A Zippo¹, G Iarriccio¹, F Pellicano¹ and F Samani¹,² ¹University of Modena and Reggio Emilia, Italy ²Shahid Bahonar University of Kerman, Iran	16.00-17.00 Workshop – Vibration analysis practical workshop with case studies	16.00-16.40 Workshop – ISO 17359 – Key steps to implementing condition monitoring
16.20-16.40	[4D5] Non-linear time-series analysis of Parkinsonian tremor signals A Zippo, G Iarriccio and F Pellicano University of Modena and Reggio Emilia, Italy
16.40-17.00	[4D6] Non-linear isolators for civil applications G Iarriccio, A Zippo, M Molaie and F Pellicano University of Modena and Reggio Emilia, Italy
17.00-17.20	[4D7] Free vibration analysis of FGM plates and shallow shells by the R-functions method A Zippo¹, T Shmatko², F Pellicano¹ and L Kurpa² ¹University of Modena and Reggio Emilia, Italy ²National Technical University, Ukraine
17.20 18.15-23.00	Conference close for the day Pre-dinner drinks and nibbles, Awards Ceremony and Conference Dinner – Buckingham Suite 18.15-18.45 Pre-dinner drinks and nibbles 18.45-18.55 Everyone to be seated 18.55-19.48 Awards ceremony 19.48-19.55 Comfort break 19.55-20.10 Welcome and introductions 20.10-21.40 Conference dinner 21.40-22.05 Dessert, speeches, raffle and music

To view the NDT 2023 programme for Wednesday 13 September 2023, click here.

Thursday 14 September 2023
08.00	Registration – Hotel Foyer Tea and Coffee – Hotel Foyer
09.00-09.30	NDT Plenary Paper: NDE 4.0: realising zero-defect mass production of bonded joints by integrating AI into the advanced real-time ultrasonic quality monitoring process Dr R Maev, Canada Chair: Professor I Cooper, TWI, UK Room A
09.30-10.00	CM Innovation Award Plenary: Novel condition monitoring of axial piston pumps G Enevoldsen and C Svendsen, Danfoss, Denmark Chair: Professor L Gelman, University of Huddersfield, UK Room A
	CM Session D – General condition monitoring and signal processing Chair: Professor L Gelman Room D	CM Session E – Application of data-driven and physics-based modelling for asset condition monitoring Chair: Dr A Rahbarimanesh Room E
10.00-10.20	Specialised keynote presentation: [5D1] Digital twin for condition monitoring of actuators R Smid Czech Technical University in Prague, Czech Republic	[5E1] A combined computational fluid dynamics-condition monitoring machine learning (CFD-ML) framework for numerical design and optimisation of turbo expanders used in natural gas liquefaction units S Rahbarimanesh¹, A Nejat², A Rahbarimanesh³ and S Mousavi² ¹University of British Columbia, Canada ²University of Tehran, Iran ³University of Manchester, UK
10.20-10.40	[5D2] Simulation of the behaviour of engines in their current state of wear A Madane¹,² and J Lacaille² ¹University of Versailles Saint-Quentin-en-Yvelines, France ²Safran Aircraft Engines, France	[5E2] A data-driven dynamic process modelling and optimisation framework for condition monitoring of a liquefied gas refrigeration unit in South Pars petrochemical processing plant S Rahbarimanesh¹, A Nejat² and A Rahbarimanesh³ ¹University of British Columbia, Canada ²University of Tehran, Iran ³University of Manchester, UK
10.40-11.00		[5E3] Application of condition monitoring machine learning (ML) and multi-criteria decision-making (MCDM) for asset condition monitoring A Rahbarimanesh¹ and S Rahbarimanesh² ¹University of Manchester, UK ²University of British Columbia, Canada
11.00-11.30	CM Plenary Paper: Drivetrain health management in agricultural vehicles 4.0 A Masoumi, CNH Industrial, Italy *Chair: Professor L Gelman, University of Huddersfield, UK* Room D
11.00-11.30	NDT Plenary Paper: Title to be confirmed Speaker to be confirmed *Chair: S Cunningham, Lavender International NDT, UK* Room A
11.30-12.00	Tea, Coffee and Exhibits through the years – Buckingham Suite
12.00-13.20	CM Panel Session: Future directions for CM Room D
12.00-12.20	NDT Joint Plenary Paper: NDT through the years: 1950s and 1960s S Lavender, Retired, UK Chair: Professor I Cooper, TWI, UK Room A
12.20-12.40	NDT Joint Plenary Paper: Ultrasonics and eddy current testing through the years: 1970s and 1980s A Wooldridge, UK Chair: Professor I Cooper, TWI, UK Room A
12.40-13.00	NDT Joint Plenary Paper: NDT through the years: 1990s to current day R Smith, UK Chair: Professor I Cooper, TWI, UK Room A
13.00-13.20	NDT Joint Plenary Paper: UKAEA’s National NDT Centre in the 1980s and 1990s C Bull, UK Chair: Professor I Cooper, TWI, UK Room A
13.20-14.40	Formal two-course meal (starter and main) – Hotel Restaurant Awards – Hotel Restaurant The Len Gelman Best Paper Award for CM The William Gardner Best Paper Award for NDT Apprenticeship Prize Award ceremony
14.40-16.30 15.30	Exhibits – Buckingham Suite Demonstrations – Buckingham Suite Drones Robots An audience with D Gilbert, CEO, BINDT, UK – Buckingham Suite Cream tea and 60th Annual Conference cake cutting – Buckingham Suite D Gilbert, CEO, BINDT, UK
16.30	Conference close

To view the NDT 2023 programme for Thursday 14 September 2023, click here.

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

Programme

Tuesday 12 to Thursday 14 September 2023 Northampton Town Centre Hotel, Northampton, UK

Tuesday 12 to Thursday 14 September 2023
Northampton Town Centre Hotel, Northampton, UK