Programme

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



  Sponsors



Qingcheng AE Institute (Guangzhou) Co LtdReliability Maintenance SolutionsSensonics Ltd





SpectraQuest Inc

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


Tuesday 12 September 2023
08.00
Registration – Hotel Foyer
Tea and Coffee – Buckingham Suite
08.45-08.55Opening Ceremony: Welcome and introduction
I Cooper, D Gilbert and L Gelman

Room A
08.55-09.35Opening 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
09.35-10.15Plenary 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
10.45-11.15CM 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
11.15-11.20Welcome from ICNDT
S K Babu, Singapore

Room A
11.20-11.50Tea, 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

15.30-16.00Tea, 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
16.40-17.00CM 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
09.00-09.30NDT 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
09.30-10.00CM 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
10.40-11.10Tea, 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
11.50-12.10NDT 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

12.10-12.30BINDT'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 ExhibitionBuckingham Suite


BINDT Annual General Meeting Room A
Followed by Lunch and ExhibitionBuckingham Suite

Benevolent Fund Annual General MeetingRoom A
Followed by Lunch and ExhibitionBuckingham Suite
14.00-14.30President'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
14.00-14.30CM 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
15.30-16.00Tea, 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
09.00-09.30NDT 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
09.30-10.00CM 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

10.00-10.20Specialised 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

11.00-11.30CM 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
11.00-11.30NDT 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
12.00-13.20CM Panel Session: Future directions for CM

Room D
12.00-12.20NDT Joint Plenary Paper: NDT through the years: 1950s and 1960s
S Lavender, Retired, UK

Chair: Professor I Cooper, TWI, UK
Room A
12.20-12.40NDT 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
12.40-13.00NDT Joint Plenary Paper: NDT through the years: 1990s to current day
R Smith, UK

Chair: Professor I Cooper, TWI, UK
Room A
13.00-13.20NDT Joint Plenary Paper: UKAEA’s National NDT Centre in the 1980s and 1990s
C Bull, UK

Chair: Professor I Cooper, TWI, UK
Room A
13.20-14.40Formal 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