Dr Mani Entezami PhD, MSc, BSc

Department of Electronic, Electrical and Systems Engineering
Research Fellow – Condition Monitoring and NDT

Contact details

Telephone: +44 (0) 121 414 47522
Fax: +44 (0) 121 414 4291
Email: m.entezami@bham.ac.uk

Address: University of Birmingham
Edgbaston
Birmingham
B15 2TT
UK

Mani Entezami is a research fellow at the Birmingham Centre for Railway Research and Education (BCRRE).

Mani has more than 12 years’ experience in research and engineering, including 8 years in condition monitoring, system modelling and signal processing.

Mani’s PhD work was based on novel condition monitoring techniques for wind turbine brake systems.

He is currently working on trackside and on-board monitoring system design for rolling stock and infrastructure.

Mani has published high quality papers and has won several awards at conferences.

Qualifications

PhD in Electronic, Electrical and Computer Engineering, 2013. Thesis title: Novel operational condition monitoring techniques for wind turbine brake systems. The University of Birmingham http://etheses.bham.ac.uk/4719/
MSc in Embedded Systems, 2009. The University of Birmingham
BSc (Hons) Computer Hardware Engineering, 2003. IAUTCB

Biography

Mani graduated in 2003 with a BSc in Computer Hardware Engineering. In the same year he started working in industry as a firmware engineer. He worked in an industrial R&D department for 6 years. Condition monitoring and embedded system design were his main objectives such as design and development of a Smart Power Analyser.

In 2008 he started a Master’s degree in Embedded systems at the University of Birmingham, graduating in 2009. He followed this with a PhD in Condition Monitoring Systems for Wind Turbines at the Birmingham Centre for Railway Research and Education (BCRRE). Mani was awarded the PhD in 2013.

Since, Mani been working as a Research Fellow at the BCRRE. Mani is involved in several condition monitoring projects, including developing intelligent systems for monitoring train axlebox bearings and gearboxes using vibration and acoustic signals. He has also been working on projects using high speed microcontrollers and FPGA based embedded systems for data logging and real-time signal analysis.

In addition, Mani provides academic support to PhD candidates within the centre.

Teaching

Teaching Programmes

As part of the department of EECE, Mani helps with some of the undergraduate and MSc modules when is required, including:

1st year - Digital electronics and microprocessor systems
2nd year - Robot project
MSc – Small embedded systems
MRes – Study Skills Laboratory

He has also been an A2B tutor within Outreach Office since May 2010.

Postgraduate supervision

As an academic member of the BCRRE, Mani supports PhD and MSc projects that fall within his research area and expertise.

Research

Condition Monitoring Systems
Non-destructive Testing
Current Signature Analysis
Vibration and Acoustic Analysis
Fault Detection and Diagnosis
Embedded Systems
Railway and Wind Power

Publications

A. Amini, M. Entezami, M. Papaelias, "Wayside detection of faults in railway axle bearings using time spectral kurtosis analysis on high frequency acoustic emission signals", Journal of Advances in Mechanical Engineering, November 2016, dx.doi.org/10.1177/1687814016676000

A. Amini, M. Entezami, M. Papaelias, “Onboard detection of railway axle bearing defects using envelope analysis of high frequency acoustic emission signals”, Journal of Case Studies in Nondestructive Testing and Evaluation, November 2016, dx.doi.org/10.1016/j.csndt.2016.06.002

M. Entezami, E. Stewart, C. Roberts, et al, “Wayside acoustic monitoring techniques for railway axlebox bearings on high-speed lines”, 11th world congress on railway research (WCRR), Milan, May, 2016

Z. Zhang, M. Entezami, E. Stewart, C. Roberts, “Enhanced fault diagnosis of roller bearing elements using a combination of empirical mode decomposition and minimum entropy deconvolution”, Journal of Mechanical Engineering Science – Part C, December 2015, dx.doi.org/10.1177/0954406215623575

Z. Zhang, M. Entezami, E. Stewart, C. Roberts, “Improvement of Axle Bearing Monitoring Systems Through the Use of High Speed Imaging for Directing Acoustic Beamforming”, 12th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Oxford, June 2015

M. Entezami, L. Saade, E. Stewart, C. Roberts, P. Weston, “Low-power embedded system approach for axlebox bearing condition monitoring” The Stephenson Conference, Research for Railway, IMECHE, London, April 2015

A. Hoffrichter, P. Fisher, M. Entezami, et al, “Development and design of a narrow-gauge hydrogen-hybrid locomotive”, Proceedings of the Institution of Mechanical Engineers, Part F: Journal of Rail and Rapid Transit, May 2014, dx.doi.org/10.1177/0954409714532921

M. Entezami, E. Stewart, J. Tutcher, W. Driscoll, R. Ellis, G. Yeo, Z. Zhang, C. Roberts, “Acoustic analysis techniques for condition monitoring of roller bearings”, Railway Condition Monitoring (RCM 2014), 6th IET Conference on Railway Condition Monitoring, Birmingham, September 2014, dx.doi.org/10.1049/cp.2014.1012

M. Entezami, E. Stewart, S. Kent, C. Roberts, “Experimental comparison of acoustic and vibration-based analysis techniques for condition monitoring of roller bearings”, 11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Manchester, June 2014

M. Entezami, S. Hillmansen, P. Weston, M.Ph. Papaelias, “Condition monitoring of hydraulic power units in industrial wind turbines”, International Journal of Condition Monitoring, Volume 3, Issue 2, October 2013, Pages 47-52, dx.doi.org/10.1784/204764213808146635.

A. Amini, M. Entezami. M. Papaelias “Condition monitoring of railway wheelsets using acoustic emission”, 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Karkow, June 2013.

M. Entezami, S. Hillmansen, P. Weston, M.Ph. Papaelias, “Condition Monitoring of wind turbine hydraulic systems”, 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Krakow, July 2013.

M. Entezami, S. Hillmansen, P. Weston, M.Ph. Papaelias, “Fault detection and diagnosis within a wind turbine mechanical braking system using condition monitoring”, Renewable Energy, Volume 47, November 2012, Pages 175-182, ISSN 0960-1481, dx.doi.org/10.1016/j.renene.2012.04.031.

M. Entezami, S. Hillmansen, P. Weston, M.Ph. Papaelias, “Condition monitoring of wind turbine brake systems”, 9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, London, July 2012.

M. Ph. Papaelias, M. Entezami, et al, “Development and demonstration of a novel integrated condition monitoring system for wind turbines”, 9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, London, July 2012.

M. Entezami, S. Hillmansen, P. Weston, M.Ph. Papaelias, “Fault detection and diagnosis within a wind turbine mechanical braking system”, 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies, Cardiff, July 2011.

View all publications in research portal