Len Gelman

Prof

Accepting PhD Students

20142017
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Personal profile

Biography

Len Gelman, PhD, Dr. of Sciences (habilitation) joined the University of Huddersfield as a Professor, Chair in Signal Processing and Condition Monitoring and the Director of Centre for Efficiency and Performance Engineering, in 2017 from Cranfield University, where he had worked as a Professor and Chair in Vibro-Acoustical Monitoring since 2005, creating a team focused on vibro-acoustical condition monitoring of complex systems with an emphasis on their practical deployment.

During his time at Cranfield, Len has developed technologies which have been field trialled in applications ranging from aircraft engines, gearboxes, bearings, steam turbines, composite materials and centrifugal compressors. He has managed as the Principal Investigator contributions to multiple EU funded programs, UK DTI programs (4 grants), multiple EPSRC grants, Royal Society grant, USA National Academy of Sciences grant, USA National Research Council grant, and multiple industrial contracts, including multiple contracts with Rolls-Royce (6 contracts), contracts with SKF, Shell, Scotish Southern Energy (two contracts),Caterpillar (USA, two contracts), London Underground (three contracts) and Cranfield Boeing Centre of Excellence (3 contracts).

Before joining Cranfield University, Len was the Principal Investigator of USA International Science Foundation grant, USA Civilian Reserach and Development Foundation grants (two grants), USA MacArthur Foundation grant, Israel Lady Davis grant and Italian Landau Centro Volta grant.  

Len was  

•              the Technical Manager of EU Framework FP7 project Monitur 

•              the Technical Manager of EU Framework FP7 project Indgear 

•              the Technical Manager of EU Framework FP7 project PileInspect 

•              the Technical Manager of UK DTI project Sustain 

•              the Coordinator of EPSRC project

Len received Rolls-Royce engineering award for innovation in 2012, COMADIT Prize (by British Institute of NDT) in 2017 for significant contribution through reserch/development in condition monitoring, Oxford Academic Health Science Netrwork Award,  2014, William Smith Prize by UK Institution of Mechanical Engineers, 2010 and USA Navy Award, 1998.

Len is the Honorary Technical Editor for the International Journal of Condition Monitoring, the Editor-in-Chief, the International Journal of Engineering Sciences (SCMR), the Executive Director of the International Society for Condition Monitoring, the Chair of the annual International Condition Monitoring Conferences, the Honorary Co-Chair of the annual World Congresses of Engineering and a Co-Chair of the International Conference COMADEM 2019 (the University of Huddersfield).

He was the General Chair of the First World Congress on Condition Monitoring, the Chair of the Second World Congress on Engineering Asset Management and Co-Chair of the Technical Programme of the International Conference on Maintenance, Prognostic and Health Management, 2012.

Len is Co-Chair of the International Working Group of the International Committee for NDT and the Chair of the International Working Group of the European Federation of NDT.

Len has published more than 250 publications, including 17 patents and 2 book chapters and he is a co-editor of 11 books published by Springer. He is a Fellow of British Institute of NDT, a Fellow of the International Association of Engineers and a Fellow of UK Institution of Diagnostic Engineers.

Len made 40 plenary keynote presentation at major international conferences during period 1999-2018 and also made more than 100 invited lectures and seminars in the UK, USA, France, Italy, Denmark, Switzerland, Holland, India and Israel during period 1996-2018.

He was a Visiting Professor at nine Universities abroad and at Argonne National Laboratory (USA).

Len is reviewer of the following funding bodies: EPSRC, the Agency for Innovation by Science and Technology in Flanders,Belgium, German Research Foundation, Germany, Czech Science Foundation, Czech Republic, Research Grants Council, Hong Kong, China, Scottish Universities Physics Alliance, Scotland and National Research Foundation, South Africa.

Research Expertise and Interests

Professor Gelman's research interests include: Vibro-acoustical diagnosis, prognosis and root cause analysis, Classical and time-frequency signal processing, Pattern recognition, Structural health monitoring, NDT in civil engineering and Adaptation of condition monitoring technologies.

Keywords

  • Vibro-Acoustical Diagnosis
  • Prognosis Analysis
  • Root Cause Analysis
  • Classical Signal Processing
  • Time-Frequency Signal Processing
  • Pattern Recognition
  • Structural Health Monitoring
  • NDT
  • Condition Monitoring Technologies

Fingerprint Fingerprint is based on mining the text of the person's scientific documents to create an index of weighted terms, which defines the key subjects of each individual researcher.

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Research Output 2014 2017

  • 10 Article
  • 9 Conference contribution
  • 3 Comment/debate
  • 1 Editorial

Comment

Gelman, L., 1 Aug 2017, In : Insight: Non-Destructive Testing and Condition Monitoring. 59, 8, 1 p.

Research output: Contribution to journalComment/debate

Novel adaptation of the spectral kurtosis for vibration diagnosis of gearboxes in non-stationary conditions

Gelman, L., Kolbe, S., Shaw, B. & Vaidhianathasamy, M., 1 Aug 2017, In : Insight: Non-Destructive Testing and Condition Monitoring. 59, 8, p. 434-439 6 p.

Research output: Contribution to journalArticle

Cluster analysis
Frequency bands
Fourier transforms
Decision making
Processing

Novel condition monitoring of induction motor bearings via motor current signature analysis

Ciszewski, T., Dzwonkowski, A., Swedrowski, L. & Gelman, L., 2017, WCCM 2017 - 1st World Congress on Condition Monitoring 2017. British Institute of Non-Destructive Testing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Bearings (structural)
Condition monitoring
Induction motors
Engines
Signal analysis

Novel in-service combustion instability detection using the chirp fourier higher order spectra

Gelman, L., Parrish, C., Petrunin, I. & Walters, M., 6 Mar 2017, In : International Journal of Prognostics and Health Management. 8, 1, 8 p.

Research output: Contribution to journalArticle

Open Access
Gas turbines
Turbine components
Combustors
Aerodynamics

Novel vibration diagnosis technology for industrial gearboxes

Chandra, H. N., Gelman, L., Manning-Ohren, D. & Patel, M., 2017, 24th International Congress on Sound and Vibration, ICSV 2017. International Institute of Acoustics and Vibration, IIAV

Research output: Chapter in Book/Report/Conference proceedingConference contribution

transmissions (machine elements)
misalignment
chirp
vibration
machinery