Programme 25 June 2019

Conference open days – 25-27 June 2019
Exhibition open days – 25-26 June 2019 



Monday 24 June
16.00-19.00Registration – Room: Hotel Foyer
19.00-21.00 Welcome Buffet – Room: The Regent
Tea and Coffee – Room: The Regent

Tuesday 25 June
08.00Registration – Room: Hotel Foyer
Tea, Coffee and Exhibition – Room: The Regent
09.00-09.20 Opening Ceremony – Chair: Professor L Gelman, University of Huddersfield, UK
Room: The Victoria

09.20-09.50 Plenary Keynote Lecture [101] A novel automatic indexation process for identification of anomalous behaviours of turbofan engines
Dr J Lacaille, Safran Aircraft Engines, France
Chair: Professor L Gelman, University of Huddersfield, UK
Room: The Victoria 
 
09.50-10.00CM Book Update
Professor A Hope, Solent University, UK
Chair: Professor L Gelman, University of Huddersfield, UK
Room: The Victoria 
10.00-10.30 Exhibition Spotlight Session
Chair: Professor A Hope
Room: The Regent
10.30-11.00
Tea, Coffee and Exhibition – Room: The Regent

Session 1A: Trained structures and statistical methods in CM


Chair: Professor L Kuravsky
Room: The Victoria
Session 1B – Bearing monitoring


Chair: Professor L Wang
Room: The Buchannan
Session 1C – Modelling and identification of blade-based rotor systems for CM

Chair: Professor F Gu
Room: The Great Western
11.00-11.20[102] How to reveal the influence of the human factor

L S Kuravsky and G A Yuryev
Moscow State University of Psychology and Education, Russia
[103] Invited overview presentation: Smart bearings: past, current and future

L Wang
University of Southampton, UK


[104] Invited overview presentation: A fourth-order synchroextracting transform for the analysis of non-stationery signals with fast varying instantaneous frequency

K Yu1,2 and T R Lin2
1Northeastern University, P R China
2Qingdao University of Technology, P R China

11.20-11.40[105] Intelligence algorithms for intrusion and anomaly detection in virtual cloud networks, software and experiment design

G Yuryev
Moscow State University of Psychology and Education, Russia

[106] Development of a bearing fault detection and diagnosis suite based on multi-sensing techniques for aero engines

T J Harvey, I Bashir, K Esmaeili, L Wang, A Weddell, N White and B Zaghari
University of Southampton, UK
[107] Random vibration of a finite element rotor model with crack fault via polynomial chaos expansion

C Fu1,2, Y Yang2, Y Wang2, F Gu1 and A Ball1
1University of Huddersfield, UK
2Northwestern Polytechnical University, China

11.40-12.00[108] An intelligent system to support CM for activities of operators of complex technical systems

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

[109] Early detection of white etchibg crack formation under dynamic loading using electrostatic sensing technique

K Esmaeili1, L Wang1, T J Harvey1, N M White1 and W Holweger1,2
1University of Southampton, UK
2Schaeffler Technologies GmbH & Co KG, Germany
[110] Extraction of information from vibration data using double density discrete wavelet analysis for CM

K Rabeyee, Y Xu, S Alabied, F Gu and A D Ball
University of Huddersfield, UK



12.00-12.10
Ten-Minute Comfort Break and Exhibition – Room: The Regent
12.10-12.30 [111] Application of a non-standard approach for diagnostic analysing of vibration waveforms

F Y Balitsky1,2 and A Sokolova1
1Machinery Engineering Research Institute of the Russian Academy of Sciences, Russia
2Spectrum Engineering, Russia
Optical CM

Chair: Professor P S Heynes

[112]
Process monitoring and verification of the shot peening process using a pressure sensor and a high-speed camera

A Aramcharoen, K Ahluwalia and A Teo
Agency for Science, Technology and Research, Singapore 
Vibration CM

Chair: D Whittle

[113]
Trends in CM for pitch bearings

D Sandoval 1,2, U Leturiondo1, F Pozo2, Y Vida2 and O Salgado1
1IK4-Ikerian Technology Research Centre, Spain
2Universitat Politècnica de Catalunya (UPC), Spain
12.30-12.50 [114] Integral evaluation of the dangerous behaviour probability for computer network users via parameters of their activity

L S Kuravsky1, G A Yuryev1, M A Chervonenkis2, A A Konstantinovsky1, A A Shevchenko1, S S Isakov1 and D P Sincha2
1Moscow State University of Psychology and Education, Russia
2Pawlin Technologies Company, Russia
[115] Computer vision for rail surface defect detection

P S Heyns, R Deetlefs, A J Oberholster, T R Botha P S Els and D H Diamond 
University of Pretoria, South Africa
[116] Data-driven prototype of turbo-engine blade monitoring

C Ying, J Lacaille and C Berthou
Safran Aircraft Engines, France 
12.50-13.10
[117] Bayesian evaluation to detect dangerous user behaviour in computer networks: an example of practical application

A A Shevchenko1, A A Konstantinovsky1 and D P Sincha2
1Moscow State University of Psychology and Education, Russia
2Pawlin Technologies Company, Russia


[119] A novel implementation of vibration signal decomposition for estimation of degradation in rotating plant

B Brown, B Stephen, S McArthur, G West and C Michie
University of Strathclyde, UK 
13.10-13.30
[120] A virtual adaptive simulator as a skill formation tool for the operators of complex technical systems

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



[122] Sampling above Nyquist with high resolution


R F McLean
Retired


13.30-14.50
Lunch and Exhibition – Room: The Regent
14.20-14.50
International Scientific Advisory Committee Meeting (working lunch by invitation only) – Room: TBC
14.50-15.20Plenary Keynote Lecture [220] An integrated approach to marine condition-based monitoring
W Ross, Servowatch Systems, UK
Chair: Professor L Gelman, University of Huddersfield, UK
Room: The Victoria


Session 2A – Modelling and identification of blade-based rotor systems for CM

Chair: Professor F Gu
Room: The Victoria
Session 2B – CM of components in rotating machines

Chair: Dr J Liska
Room: The Buchannan
Session 2C – Vibration signature analysis of rotor/shift crack in rotating machinery

Chair: Dr S Ganeriwala
Room: The Great Western
15.20-15.40[124] Monitoring of gear wear progressions based on a modulation signal bispectrum analysis of vibration

X Sun1,2, R Zhang2, K Lu2, A M Ahmada1, F Gu1 and T Wang2
1University of Huddersfield, UK
2Taiyuan University of Technology, China
[125] Vibration monitoring of rotating machine components

J Liska, J Jakl, S Kunkel, V Vasicek, K Kalista and M Kas
University of West Bohemia, Czech Republic
[126] Turbomachinery vibration analysis case studies: using data from online vibration monitoring systems

S R Ganti
Vibration Consultation, India 
15.40-16.00
[127] Time-varying coupled vibration analysis of a ball-screw feed system

Q Wu1,2, F Gu2 and A D Ball2
1Lanzhou University of Technology, China
2University of Huddersfield, UK
[128] Usage of shaft vibration signals for turbine blade monitoring

J Jakl, J Liska, and V Vasicek
University of West Bohemia, Czech Republic
[129] Using minimum entropy decomposition and spectral kurtosis for rolling element bearing fault analysis in a permanent magnet motor

D Chen and S Ganeriwala
SpectraQuest Inc, USA
16.00-16.20
[130] Wind turbine blade modelling and online identification with photogrammetry technologies

M Li2, J Guo1,2, F Gu2 and A D Ball2
1Lanzhou University of Technology, China
2University of Huddersfield, UK
[131] Torsional vibration encoder-based monitoring methods and their experimental validation

J Liska, J Jakl and S Kunkel
University of West Bohemia, Czech Republic
[132] Determining induction motor air-gap eccentricity using vibration and motor current signature analaysis (MCSA)

D Chen and S Ganeriwala
SpectraQuestion Inc, USA 
16.20-16.50
Tea, Coffee and Exhibition – Room: The Regent

Session 3A – Modelling and identification of blade-baseed rotor systems for CM

Chair: Professor F Gu
Room: The Victoria
Session 3B – CM components in rotating machines

Chair: Dr J Liska
Room: The Buchannan
Session 3C – Ultrasonics NDT



Chair: D Whittle
Room: The Great Western
16.50-17.10
[133] Modelling in-cylinder pressures for accurate simulations of instantaneous angular speed responses to combustion faults in an internal combustion engine powertrain

Y Xu1, J Fei2, Y Yun3, J Wang2, F Gu1 and A D Ball1
1University of Huddersfield, UK
2Harbin Engineering University, China
3Qingdao Agricultural University, China
[134] Identification of seal dynamic force coefficients for turbine rotor monitoring purposes

K Kalista, J Liska, J Jakl and Vasicek
University of West Bohemia, Czech Republic

[135] Flexible ultrasonic transducer development for couplant-free high-temperature monitoring

D Irving, H Trodden and D Hughes
Novosound Ltd, UK
17.10-17.30
[136] Rotor dynamics in a pump system under the influences of magnetoelectrical, fluid and mechanical effects using ANSYS

W Tang1,2, F Gu2, H Mao1, A D Ball2 and A Daraz2
1Guangxi University, China
2University of Huddersfield, UK
[137] Monitoring and experimental validation of blade vibration forces acting on a rotor

V Vasicek, J Liska and J Jakl
University of West Bohemia, Czech Republic
[138] Ultrasound and its applications

D Whittle
RMS Ltd, UK 
17.30-17.50
[139] Application of minimum entropy deconvolution in diagnosis of reciprocating compressor faults based on airborne acoustic analysis

D Mondal, F Gu and A D Ball
University of Huddersfield, UK 
  
17.50
18.00
Conference close for the day
Evening Event: To be confirmed

To view the programme for Wednesday 26 June 2019, click here and to view the programme for Thursday 27 June 2019, click here.

For further information contact: Conferences and Events Department, The British Institute of Non-Destructive Testing,
Midsummer House, Riverside Way, Bedford Road, Northampton NN1 5NX, UK.
Tel: +44 (0)1604 438300; Fax: +44 (0)1604 438301; Email: cm_mfpt@bindt.org; Web: www.cm-mfpt.org