Programme

Tuesday 7 to Thursday 9 June 2022
Radisson Hotel and Conference Centre, London Heathrow, UK 



Sponsors


Monday 6 June 2022
16.00-19.00Registration – Room: Aviator Foyer

19.00-21.00Welcome Buffet – Room: Aviator Foyer
Tea and Coffee – Room: Aviator Foyer

 

Tuesday 7 June 2022
08.00

Registration – Room: Aviator Foyer
Tea and Coffee – Room: Aviator Foyer
Exhibition – Room: Bleriot

09.00-
09.20

Opening ceremony: Welcome and introduction

Chair: Professor L Gelman, University of Huddersfield, UK

Room: Bleriot

09.20-
09.50

Plenary Paper [101]: Ignore condition monitoring systems at your peril
Dr D Hickey, UK
Chair: Professor L Gelman, University of Huddersfield, UK
Room: Bleriot

09.50-10.45 

Exhibition Spotlight Session
09.50-10.00 – RMS Ltd
10.00-10.10 – Oceanscan Ltd
10.10-10.20 – Skills Training UK Ltd
10.20-10.25  Sensonics Ltd

Chair: Professor A Hope, CM Consultant, UK

Room: Bleriot 

10.25-11.10 

Tea and Coffee – Room: Aviator Foyer
Exhibition – Room: Bleriot

Session 1B – Vibration-based condition monitoring

Chair: Professor R Serra

Room: Johnson 

Session 1C – Trained structures and statistical methods in condition monitoring

Chair: Professor L Kuravsky

Room: Armstrong

11.10-11.30 


[103] Fatigue damage estimation under random vibration load: analytical model and experimental validation

L Campello1,2, R Serra1, R Sesana2 and C Delprete2
1INSA Centre Val de Loire, France
2Politecnico di Torino, Italy

[104] The spectral analysis of qubit representations in analysing the oculometer activity of operators of complex technical systems

L S Kuravsky
Moscow State University of Psychology and Education, Russia

11.30-11.50 


[109] Effects of early dents progression on hybrid ball bearing surface

S Barrada1,2,3, R Serra2,3 and C Chastagner2
1SKF France
2Institut National des Sciences, France
3Laboratoire de Mécanique Gabriel Lamé - EA 7494, France



[107] The universal mathematical model of adaptive learning and tools for assessing its effectiveness in various applications

L Kuravsky, D Pominov, G Yuryev, N Yuryeva, M Safronova, E Kulanin and S Antipova
Moscow State University of Psychology and Education, Russia

11.50-12.10 


[112] Both radial and axial load distributions measurement on V-band clamp by a new load cell design

G Capobianco1, N Bohun1, M Gratton1, R Serra1, A Zinbi2 and N Rigollet2
1INSA Centre Val de Loire, France
2Caillau Industries, France 



[110] Applied multi-agent system to study collaborative behaviour of condition monitoring experts during education process

S I Popkov
Moscow State University of Psychology and Education, Russia 

12.10-12.30 



[113] On the experience of developing a mobile complex for recording the electrical activity of the brain on the meringue of dry electrode technology

G Yuryev, L Kuravsky and N Yuryeva
Moscow State University of Psychology and Education, Russia 

12.30-13.50 

Lunch and ExhibitionRoom: Aviator Foyer/Bleriot 

13.30-13.50 

International Scientific Advisory Committee Meeting (working lunch by invitation only) – Room: To be confirmed 

13.50-14.20 

Plenary Keynote Lecture [114]: Digital twins as condition monitoring enablers: the swan song approach
Professor D Galar, Sweden
Chair: Professor L Gelman, University of Huddersfield, UK
Room: Bleriot 

14:20-14:30

CM Book Update
Professor A Hope, UK
Chair: Professor L Gelman, University of Huddersfield, UK
Room: Bleriot

 

Session 2A – New technologies for gearbox prognosis, diagnostics, monitoring, testing and modelling

Chair: Professor F Pellican

Room: Bleriot

Session 2B – Condition monitoring and diagnostics of machine components

Chair: Dr J Liska

Room: Johnson 

Session 2C – Ultrasound/Acoustic emission

Chair: Dr E Juuso

Room: Armstrong 

14.30-14.50 

[115] Gear prognostics: an ISO-based predictive algorithm for lifetime estimation of operating gearboxes

L Bergamini, A Zippo , G Iarriccio, M Molaie and F Pellicano
Università degli Studi di Modena e Reggio Emilia, Italy

[116] Advanced turbine-generator torsional vibration evaluation method using Kalman filtering

J Liska, J Jakl and S Kunkel
University of West Bohemia in Pilsen, Czech Republic 

[117] Acoustic emission characterisation of two pre-cracked specimens

A Galvez1,2, D Galar1,2, A Alonso1, B Errasti-Alcala1, I Bienvenido3, P Ortego4 and E Juuso5
1TECNALIA, Spain
2Luleå University of Technology, Sweden
3ZEUKO, Spain
4University of the Basque Country (UPV/EHU), Spain
5University of Oulu, Finland 

14.50-15.10 

[118] Loaded and unloaded tooth contact analysis of spiral bevel gear in consideration of misalignments

M Moslem, A Zippo, G Iarriccio, L Bergamini and F Pellicano
Università degli Studi di Modena e Reggio Emilia, Italy

[119] Localisation of the blade excitation using shaft vibration signal measurement

V Vasicek, J Liska, J Jakl and J Strnad
University of West Bohemia in Pilsen, Czech Republic 

[120] Unified signal and data analysis for integration of condition monitoring and intelligent control

E Juuso
University of Oulu, Finland

15.10-15.30 

[121] Active vibration control based on cost effective microcontroller

A Zippo, F Pellicano and G Iarriccio
Università degli Studi di Modena e Reggio Emilia, Italy

[122] Measurement of dynamic forces acting on a rotor supported by a magnetic bearing to identify the coefficients of seals

K Kalista, J Liska and J Strnad
University of West Bohemia in Pilsen, Czech Republic 

[123] Not all defects rotate – using ultrasound in condition monitoring


T Murphy
Reliability Team Ltd, UK



15.30-15.50 

Tea and CoffeeRoom: Avaiator Foyer
Exhibition – Room: Bleriot 

 

Session 3A continued – New technologies for gearbox prognosis, diagnostics, monitoring, testing and modelling

Chair: Professor F Pellicano

Room: Bleriot 

Session 3B continued – Condition monitoring and diagnostics of machine components

Chair: Dr J Liska
Room: Johnson 

Session 3C – Machine learning for smart systems

Chair: Professor L Wang
Room: Armstrong 

15.50-16.10 

[124] Effects of laser surface texturing on the dynamic performance of spur gears

G Iarriccio, A Zippo, M Molaie, L Bergamini and F Pellicano
Università degli Studi di Modena e Reggio Emilia, Italy

[125] Blade tip timing monitoring of axial fans with variable blade angle

J Jakl and J Liska
University of West Bohemia in Pilsen, Czech Republic 

[126] Integrated intelligent bearing systems (I2BS) for the ultra-high propulsion efficiency (UHPE) ground test demonstrator

L Wang1, N Grabham1, K Esmaeili1, T Harvey1, A Weddell1, N White1, D Mouradian2 and T Endres3
1University of Southampton, UK
2Safran Aircraft Engines, France
3Schaeffler Aerospace Germany, Germany 

16.10-16.30

[127] Digital twins: neural networks for the implementation of digital twins of gearboxes

A Zippo1, L Bergamini1, G D'Elia2, F Pellicano1, G Dalpiaz2, G Larriccio1 and M Molaie1
1Università deli Studi di Modena e Reggio Emilia, Italy
2Università degli Studi di Ferrara, Italy

[128] Anomaly detection based condition monitoring

M Kas1 and F Fomi-Wamba2
1University of West Bohemia in Pilsen, Czech Republic 
2Framatome GmbH, Germany

 [129] A generalised machine learning model based on the multinomial logistic regression and frequency features for rolling bearing fault classification

A Kiakojouri1, Z Lu1, P Mirring2, H Powrie1 and L Wang1
1University of Southampton, UK
2Schaeffler Aerospace Germany, Germany
3GE Aviation, UK

16.30-16.50 

Human/biological health monitoring

Chair: Professor S Noroozi

[131] Identification of fan blades characteristics for condition monitoring purposes

J Liska, J Jakl and R Kroft
University of West Bohemia in Pilsen, Czech Republic 

[132] Fibre bragging gratings (FBGs) for I2BS for the UHPE ground test demonstrator

L Wang1, C Holmes1, N Grabham1, T Harvey1, A Weddell1, N White1, D Mouradian2 and T Endres3
1University of Southampton, UK
2Safran Aircraft Engines, France
3Schaeffler Aerospace Germany, Germany

[130] Towards better understanding the need for better joint force monitoring when balancing knee joint force during total knee replacements

S Noroozi1, Z Searle1, S Al-Nasser1 and A Harvey2
1Bournemouth University, UK
2The Royal Bournemouth Hospital, UK

16.50-17.10

[133] Physiological signals monitoring in interaction with machines to address healthy aging

R Haratian
Bournemouth University, UK

 

 

17.10

17.30

Conference close for the day

Evening Event: A visit to the Battle of Britain Bunker tour and a two-course evening meal. Meet in the hotel foyer at 17.30 where the coach will depart at 17.45. A welcome drink will be served at the venue between 18.10-18.30 followed by a bunker tour between 18.30-19.30. The coach will depart at 19.30 where a two-course meal will be served at the hotel at 19.45. This is included in all full-time registrations. For part-time registrations, should you wish to attend, please contact the BINDT registration desk. 


Wednesday 8 June 2022

08.00

Registration – Room: Aviator Foyer
Tea and Coffee – Room: Aviator Foyer
Exhibition – Room: Bleriot

09.00-
09.30

Plenary Keynote Lecture [228]: A novel approach to digital clone for turbofan engines
Dr J Lacaille, France
Chair: Professor L Gelman, University of Huddersfield, UK
Room: Bleriot

 

Session 4A – Oil and oil debris monitoring

Chair: S Greenfield

Room: Bleriot 

Session 4B – Vibration monitoring and analysis

Chair: S Mills
Room: Johnson 

Session 4C – Trained structures and statistical methods in condition monitoring

Chair: Professor L Kuravsky
Room: Armstrong 

09.30-09.50 

[202] Catalyst isolation on oxidation of turbine and hydraulic oils

R Cutler
Oil Analysis Laboratories, UK 

[203] Visualisation of vibration for root cause analysis and rectification

D Whittle
RMS Ltd, UK 

[210] A self-supervised LSTM network for cell temperature prediction in aluminium electrolysis reduction

Y Lei and H R Karimi
Politecnico di Milano, Italy

09.50-10.10 

[205] Using a modified FMECA tool to drive the development of machine condition learning within an AI-based asset maintenance management tool, using both known and unknown fault indicators

D Shorten
Optimain Ltd, UK 

[206] Reliability centred condition-based maintenance

P Price
CM Consultant, UK 

[314] CNN-based explainable fault diagnosis model for gearboxes in rotating machinery

D Yang1, H R Karimi1 and L Gelman2
1Politecnico di Milano, Italy
2University of Huddersfield, UK

10.10-10.30 

[208] Advanced debris monitoring for next generation bearing materials and technologies, in high-power aircraft powerplant and rotorcraft transmissions

J Zielinski and S Greenfield
Eaton Aerospace, UK 

[209] Industry 4.0 and its impact on condition monitoring programme strategy

D Manning-Ohren
Eriks, UK 

[207] 


THIS SLOT IS AVAILABLE FOR LATE SUBMISSION

10.30-11.00 

Tea and CoffeeRoom: Aviator Foyer
Exhibition – Room: Bleriot 

 

Session 4A continued – Oil and oil debris monitoring

Chair: S Greenfield

Room: Bleriot 

Session 4B continued – Vibration monitoring and analysis

Chair: Professor A Hope
Room: Johnson 

Session 4C – Drones

Chair: Dr C Brett
Room: Armstrong 

11.00-11.20 

[211] The advantages of condition monitoring

T Nowell
Intertek, UK 

[212] Update on ISO standards in condition monitoring and vibration

S Mills
SpectrumCBM Ltd, UK 

[213] Aerial robotics for inspection and maintenance of assets

C Udell
Voliro AG, Switzerland
 

11.20-11.40 

[214] Online monitoring of remaining useful life by antioxident depletion in turbine engine oils

X Pu and S Greenfield
Eaton Aersopace, UK 

[215] Gearbox diagnosis based on the spectral kurtosis and adaptive filtering

L Gelman1and G Persin2
1University of Huddersfield, UK
2Qualimental Technologies Limited, UK

[216] Full-contact and immediate-proximity airborne inspection with a hybrid crawler-multirotor vehicle

R Watson, T Zhao, D Zhang, G Dobie, C MacLeod and SG Pierce
University of Strathclyde, UK 

11.40-12.00 

[217] An introduction to machine early failure detection by oil debris monitoring and analysis

Steve Greenfield
Anokhi Consulting Engineers, UK

[218] Using creative synchronous averaging for detecting defects of a belt-driven bevel gearbox

S Ganeriwala
SpectraQuest Inc, USA

[219] Monitoring heat loss using drones

S Welland
iRed, UK 

12.00-12.20 

[220]




THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION 

[221] New paradigms in maintenance, operation and health management of rotating machinery large fleets. The effect of Industry 4.0

M Vila1,2, G P Diego2,3, J Lin2 and J P Liyanage4
1Repsol, Spain
Lulea University of Technology, Sweden
3TECNALIA, Spain
4 University of Stavanger, Norway  



[222] Evaluation of remote visual inspection (RVI) techniques for inspection of high-hazard plant: results from an ongoing cross-industry research project

A Banniester, G Alliott, M Stewart and O Okunribido
Health and Safety Executive (HSE) Science Division, UK 

12.20-12.40 

[223]



THIS SLOT IS AVAILABLE FOR A LATE SUBMISSION 

[224] A physics-based study of shaft/coupling misalignment signature using vibration analysis

S Ganeriwala
SpectraQuest Inc, USA

AI-enabled decision support systems (AI-DSS) for enhanced asset condition monitoring

Chair: Dr A Rahbarimanesh

[225] AI-DSS for enhanced asset condition monitoring

A Rahbarimanesh
The University of Manchester, UK 

12.40-13.00 

12.40-13.30
Workshop:
Optimising benefits of predictive maintenance essential concepts of signal processing

S Ganeriwala
SpectraQuest Inc, USA


[230] Successful CBM programmes in a maritime setting

J Frank
PCMS Eng Group part of the British Engineering Services Group, UK

[226] Non-destructive testing (NDT) 4.0: robotic technology applied for the floor thickness monitoring of hazardous liquid storage tanks

A Rahbarimanesh
The University of Manchester, UK 

13.00-13.20 


[227] Project nautilUS: a fully-autonomous robotic technology for smart floor thickness monitoring of hazardous liquid storage tanks

A Rahbarimanesh
The University of Manchester, UK

13.20-14.20 

Lunch and ExhibitionRoom: Aviator Foyer/Bleriot 

14.20-14.50 

Plenary Keynote Lecture [201]: High performance of prediction methods for autonomous grinding in mining industry
Professor H Karimi, Italy
Chair: Professor L Gelman, University of Huddersfield, UK
Room: Bleriot 

14.50-15.20 

Plenary Keynote Lecture [229]: Time and frequency domain study of failure development in axial piston pumps
Dr G Herborg-Enevoldsen and Dr C Svendsen, Denmark
Chair: Professor L Gelman, University of Huddersfield, UK
Room: Bleriot 

15.20-15.40 

Tea and CoffeeRoom: Aviator Foyer
ExhibitionRoom: Bleriot 

 

Session 5A – Room: Bleriot 

Session 5B – Room: Johnson 

Session 5C – Room: Armstrong 

15.40-16.40 

Workshop – Oil training

S Greenfield
Anokhi Consulting Engineers, UK 

Workshop – Introduction to vibration analysis with real-world case studies

D Whittle
RMS Ltd, UK 

Workshop – Applying vibration standards

S Mills
SpectrumCBM Ltd, UK 

 

Session 6ARoom: Bleriot 

Session 6B – Room: Johnson 

Session 6CRoom: Armstrong 

16.40-17.40 

Workshop – Oil training

S Greenfield
Anokhi Consulting Engineers, UK 

Workshop – Introduction to vibration analysis with real-world case studies

D Whittle
RMS Ltd, UK 

Workshop – Applying vibration standards

S Mills
SpectrumCBM Ltd, UK 

17.40

19.30-20.00 

Conference close for the day

Event Event:
Pre-dinner drinks Room: Aviator Foyer
Conference dinnerRoom: Bleriot


Thursday 9 June 2022

08.00

Registration: – Room: Aviator Foyer
Tea and Coffee: – Room: Aviator Foyer

09.00-
09.30

Plenary Keynote Lecture [301]: No news is good news - or is it? Condition monitoring for anomaly detection
Dr R Lane, UK
Chair: Professor L Gelman, University of Huddersfield, UK
Room: Bleriot

 

Session 7A – Novel and classical signal processing for condition monitoring, structural health monitoring (SHM) and NDT

Chair: Professor L Gelman

Room: Bleriot 

Session 7B – The relationship of condition monitoring to NDT and SHM

Chair: S Mills
Room: Johnson 

09.30-09.50 

[302] Automatic operational modal analysis using a clustering approach

K Dutta Gupta, M Civera, I Petrunin, L Zanotti Fragonara and G Inalhan
Cranfield University, UK

[303] The relationship of condition monitoring to NDT and SHM

S Mills,
SpectrumCBM Ltd, UK

09.50-10.10 

[304] Detection and correction of equipment biases during engine tests

A Mourer1 and J Lacaille2
1Università Paris 1 Panthéon Sorbonne, France
2Safran Aircraft Engines, France 

[305] Progress with NDT/condition monitoring apprenticeships

S Mills
SpectrumCBM Ltd, UK 

10.10-10.30 

[306] Fault diagnosis in gearbox with invasive and non-invasive sensing approach: a review

M Alotaibi, B Asli and M Khan
Cranfield University, UK 

[307] Monitoring rotating machines: how monitoring voltage and current has prompted new mathematical research and new insights into machine behaviour

G Walker
Faraday Predictive Ltd, UK 

10.30-11.00 

Tea and Coffee – Room: Aviator Foyer 

 

Session 7A continued – Novel and classical signal processing for condition monitoring, SHM and NDT

Chair: Professor L Gelman
Room: Bleriot 

Session 7B continued – The relationship of condition monitoring to NDT and SHM

Chair: S Mills
Room: Johnson 

11.00-11.20 

[308] Novel diagnosis of a reduced oil level in a gear motor via motor current non-linearity analysis

L Gelman1, M H Farhat1, G Conaghan2, W Kluis2 and A Ball1
1University of Huddersfield, UK
2Babcock BV, Holland 

[309] Strategies for defect sizing based on MFL signals and due to numerical simulation

I Perez-Blanco1, G Dobmann2, C Boller2 and J Panqueva-Alvarez1
1Corporación para la Investigación de la Corrosión (CIC), Columbia
2Saarland University, Germany

11.20-11.40 

[310] Novel higher-order spectral based diagnosis of a conveyor belt mistracking via motor current signature analysis

L Gelman1, M H Farhat1, G Conaghan2, W Kluis2 and A Ball1
1University of Huddersfield, UK
2Babcock BV, Holland

[311] A reliable methodology for predicting failures in an oil gathering system pipe network based in statistics

F Corzo-Alvarez, J C Diaz-Alvarez, G Juzga-Leon and J H Panqueva-Alvarez
Corporación para la Investigación de la Corrosión (CIC), Columbia

11.40-12.00 

[312] Novel diagnosis of a lack of bearing lubrication via motor current non-linearity analysis

L Gelman1, M H Farhat1, G Conaghan2, W Kluis2 and A Ball1
1University of Huddersfield, UK
2Babcock BV, Holland 

[313] Cyclostationary tools to enhance relevant acoustic signals for bearing diagnostics

A Mauricio, H Denayer and K Gryllias
KU Leuven, Belgium

12.00-12.20 

[315] Current progress in the use of potential drop for condition monitoring of creep in high-temperature/pressure industrial plant

A Wojcik1, M Wait2, A Santos2 and A Shibli2
1UCL, UK
2Matelect Ltd, UK
3European Technology Developments Ltd, UK

12.20-13.20 

LunchRoom: RBG Restaurant 

 

Session 7A continued – Novel and classical signal processing for condition monitoring, SHM and NDT

Chair: S Mills
Room: Bleriot 

General condition monitoring



Chair: Professor A Kostyukov
Room: Johnson 

13.20-13.40 

[318] How different monitoring approaches impact the P-F model – a case study

D Hickey, M Smith, B Simmonds and I Dinwoodie
The Natural Power Consultants, UK

[317] Data analysis and fault finding case study of a 660 MW steam turbine generator set in a power station

Z A Malik
EDF Energy, UK

13.40-14.00 

[320] Development of a maintenance framework for modren manufacturing systems – a case study across UK manufacturers

A Shaalan, D Baglee and D Dixon
University of Sunderland, UK 

[319] Vibration jerk as a parameter for condition monitoring of electric trains

A Kostyukov and S Boychenko
SPC Dynamics, Russia

14.00-14.20 

[322] The development of CMMS platform incorporating condition monitoring tools in the advances of Industry 4.0

A Shaalan, A Morris and D Baglee
University of Sunderland, UK 

[321] Dependency of bearing vibration parameters on applied load

S Boychenko and A Kostyukov
SPC Dynamics, Russia

14.20-14.40 


[323] AI system application practice for protection of pumps at hazardous plants

A Kostyukov and S Boychenko
SPC Dynamics, Russia

14.40-15.20 

Panel session – Future directions in condition monitoring and asset management

Chair: Professor L Gelman, University of Huddersfield, UK

Room: To be confirmed

15.20-15.30 

Conference closing ceremony and The Len Gelman Best Paper Award ceremony – Room: Bleriot 


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