Dr. Faris Elasha

Lecturer in Dynamics

School of Mechanical, Aerospace and Automotive Engineering
Faculty of Engineering, Environment and Computing 

Email: ac1027@coventry.ac.uk 
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Biography

I joined Coventry University in September 2015 as a Lecturer in Dynamics. Previously I was a Research Fellow at Cranfield University. Through my previous career, I have over 10 years experience as a Mechanical Engineer in the power generation industry, where I participated in, and headed, many committees for power station maintenance and overhauls management.

I have a degree in Mechanical Engineering from Sudan University of Science and Technology (BSc), MSc in Mechanical Engineering Design from the University of Manchester and my Ph.D. in Mechanical Engineering from Cranfield University. My research area focuses on rotating machines diagnosis and prognosis. Recent involvement in the renewables area includes contributions towards the design of condition monitoring system for tidal turbines.

Qualifications

• Ph.D. in Condition Monitoring and Prognosis, Cranfield University, Completed January 2015.
• MSc in Mechanical Engineering Design, University of Manchester, 2010.
• Bsc in Mechanical Engineering, Sudan University of Science and Technology, 2003.

Research interests

Condition monitoring, diagnosis, prognosis, and intelligent health management are effective means to reducing the downtime and maintenance cost and improving the reliability of machines. These important issues have drawn more and more attention during the last decade and significant research effort is being taken by both academia and industry to advance the technologies for condition monitoring, diagnosis, prognosis, and health management of rotating machines.

My research goal is to undertake applied research and development with the aim of advancing the scope and the sensitivity of machinery fault detection, diagnosis, prognosis, performance and emissions monitoring.  My current research investigates: machine diagnostics and prognostics; asset integrity and management; gearbox dynamics and design.

Recent outputs and publications

• Elasha, F. , Mba, D., and Ruiz-Carcel, C. (2016) ‘A comparative study of adaptive filters in detecting a naturally degraded bearing within a gearbox’. Mechanical Systems and Signal Processing 3, 1-8. 
• Elasha, F., and Mba, D. (2015) 'Vibration and Acoustics Emissions Analysis of Helicopter Gearbox, A Comparative Study'. in Current Trends in Reliability, Availability, Maintainability and Safety. Ed. by Kumar, U., Ahmadi, A., Verma, A.K., and Varde, P.  Switzerland: Springer International Publishing, 125-139. 
• Elasha, F., Ruiz-Cárcel, C., Mba, D., Kiat, G., Nze, I., and Yebra, G. (2014) ‘Pitting detection in worm gearboxes with vibration analysis’. Engineering Failure Analysis 42, 366-376.
• Elasha, F., Ruiz-Carcel, C., Mba, D., and Chandra, P. (2014) ‘A Comparative Study of the Effectiveness of Adaptive Filter Algorithms, Spectral Kurtosis and Linear Prediction in Detection of a Naturally Degraded Bearing in a Gearbox’. Journal of Failure Analysis and Prevention 14 (5), 623-636. 
• Elasha, F., Mba, D., and Teixeira, J.A. (2014) ‘Condition Monitoring Philosophy for Tidal Turbines’. International journal of performability engineering 10 (5), 521-534. 

Teaching modules

• Analytical Modelling (208MAE)
• Engineering Application (104MAE)
• Individual Project (324MAE)
• Individual Project (M07MAE)
• Mechanical Science (102MAE)
• Solid Mechanics and Dynamics (206MAE)
• Stress and Dynamics (M22MAE)

Areas of expertise

• Health Monitoring Techniques for Rotating Machinery
• Finite Element (FE) modelling
• Condition Monitoring and Aging Management of Structures
• Vibration based diagnosis for rotating machines
• Advance Signal Processing