CM 2022

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

About the International Conference

The British Institute of Non-Destructive Testing (BINDT) was pleased to invite you to this premier event, the Eighteenth International Conference on Condition Monitoring and Asset Management.

The conference was organised by BINDT in close partnership with the International Society for Condition Monitoring (ISCM) and the US Society for Machinery Failure Prevention Technology (MFPT). This combination of the efforts of these leading organisations creates one of the largest events of its kind at a truly international level and builds on the highly successful 17 international condition monitoring (CM) conferences organised by BINDT, the First World Congress on CM in 2017 organised by BINDT and ISCM and 71 annual conferences organised by the MFPT Society.

BINDT has always recognised the importance of encouraging students to participate in this major international event. As a gesture to celebrate the eighteenth international conference, the Institute provided sponsorship of student registrations in 2022, resulting in a major reduction of fees for student attendance.

Programme

The three-day conference covered a wide range of advances in CM fields, which included:

Plenary presentations
Invited and contributed presentations, including case study presentations
Industrial sessions for major industrial sectors
Expert panel session on hot topics in CM, led by recognised scientists and engineers
Exhibition, vendor presentations and plenary spotlight session for exhibitors and sponsors
Social events
BINDT-sponsored student packages
Free-of-charge workshop for CM conference delegates

To view or download the Call for Papers leaflet, click here.

Exhibitor		Website
British Institute of Non-Destructive Testing		www.bindt.org
International Society for Condition Monitoring		www.intiscm.org
Oceanscan Ltd		www.oceanscan.co.uk
Reliability Maintenance Solutions Ltd		www.rms-reliability.com
SpectraQuest Inc		www.spectraquest.com

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

Sponsors

Monday 6 June 2022
16.00-19.00	Registration – Room: Aviator Foyer
19.00-21.00	Welcome 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, UK 10.00-10.10 – Oceanscan Ltd, UK 10.10-10.20 – Skills Training UK Ltd, UK 10.20-10.30 – Sensonics Ltd, UK 10.30-10.35 – Hansford Sensors, UK 10.35-10.40 – PFE Ltd, UK Chair: D Whittle, RMS Ltd, UK Room: Bleriot
10.40-11.10	Tea and Coffee – Room: Aviator Foyer Exhibition – Room: Bleriot
	Session 1A – Vibration-based condition monitoring Chair: Professor R Serra Room: Johnson	Session 1B – 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 Campello^1,2, 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 Presented via webinar
11.30-11.50	[109] Effects of early dents progression on hybrid ball bearing surface S Barrada^1,2,3, R Serra^2,3 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 Presented via webinar
11.50-12.10		[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 Presented via webinar
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 Presented via webinar
12.30-13.50	Lunch – Room: Aviator Foyer Exhibition – Room: Bleriot
12.50-13.50	International Scientific Advisory Committee Meeting (working lunch by invitation only) Room: Armstrong
13.50-14.20	Plenary Keynote Lecture [114]: Digital twins as condition monitoring enablers: the swan song approach Professor D Galar, Spain 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 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 Galvez^1,2, D Galar^1,2, 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 Presented via webinar	[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 *Presented by P Price, CM Consultant, UK*
15.30-15.50	Tea and Coffee – Room: Avaiator Foyer Exhibition – Room: Bleriot
	Session 3A continued – New technologies for 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 Presented via webinar	[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	PLEASE NOTE THE BELOW PAPER HAS NOW BEEN CANCELLED [128] Anomoly 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 a better understanding of 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	[134] A review of balancing methods for total knee replacements S K Al-Nasser¹, S Noroozi¹, R Haratian¹ and A Harvey² ¹Bournemouth University, UK ²The Royal Bournemouth Hospital, UK
17.30 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 conference 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 Presented via webinar
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	[313] The music of the machine – the importance of the audio signature for ultrasound condition monitoring P Price CM Consultant, UK	[314] A 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 Presented via webinar
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
10.30-11.00	Tea and Coffee – Room: 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	[231] Oil condition monitoring – it's most difficult problem R Cutler Oil Analysis Laboratories, 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	[224] A physics-based study of shaft/coupling misalignment signature using vibration analysis S Ganeriwala SpectraQuest Inc, USA	[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] Optical acoustic emission system M Sorgente and D Van Velson Optics 11, Netherlands	[230] Vibration analysis case study D Whittle RMS Ltd, UK	[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	[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	[206] Part One: Reliability centred condition-based maintenance P Price CM Consultant, UK Part Two: Reliability centred condition-based maintenance P Price CM Consultant, UK	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	[221] New paradigms in maintenance, operation and health management of rotating machinery large fleets. The effect of Industry 4.0 M Vila^1,2, G P Diego^2,3, J Lin² and J P Liyanage⁴¹Repsol, Spain Lulea University of Technology, Sweden ³TECNALIA, Spain ⁴ University of Stavanger, Norway	[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 – Room: Aviator Foyer Exhibition – Room: Bleriot
14.20-14.50	Plenary Keynote Lecture [201]: Autonomous mobile robot localisation: sensing and estimation 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 Coffee – Room: Aviator Foyer Exhibition – Room: Bleriot
	Session 5A – Room: Bleriot	Session 5B – Room: Johnson	Session 5C – Room: Armstrong
15.40-17.15	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
17.15 19.30-20.00	Conference close for the day Evening Event: Pre-dinner drinks – Room: Aviator Foyer Conference dinner – Room: 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	[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	[303] The relationship of condition monitoring to NDT and SHM S Mills, SpectrumCBM Ltd, UK
09.50-10.10	[306] Fault diagnosis in gearbox with invasive and non-invasive sensing approach: a review M Alotaibi, B Asli and M Khan Cranfield University, UK	[305] Progress with NDT/condition monitoring apprenticeships S Mills SpectrumCBM Ltd, UK
10.10-10.30	[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	[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	[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	[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	[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	[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
11.40-12.00	[215] Gearbox diagnosis based on the spectral kurtosis and adaptive filtering L Gelman¹ and G Persin² ¹University of Huddersfield, UK ²Qualimental Technologies Limited, UK	[324] Limitation of vibration spectra S Mills SpectrumCBM Ltd, UK
12.00-13.00	Lunch – Room: RBG Restaurant
	*Session 7A continued* – Novel and classical signal processing for condition monitoring, SHM and NDT Chair: S Mills** Room: Bleriot	Session 7B – General condition monitoring Chair: Professor A Kostyukov Room: Johnson
13.00-13.20	*PLEASE NOTE THE BELOW PAPER HAS NOW BEEN CANCELLED* [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
13.20-13.40	[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 Presented via webinar
13.40-14.00	[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 Presented via webinar
14.00-14.20		[323] AI system application practice for protection of pumps at hazardous plants A Kostyukov and S Boychenko SPC Dynamics, Russia Presented via webinar
14.20-15.00	Panel session – Future directions in condition monitoring and asset management Chair: Professor L Gelman, University of Huddersfield, UK Room: To be confirmed
15.00-15.10	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

CM 2022

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

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