• Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus

Research activity per year

If you made any changes in Pure these will be visible here soon.

Personal profile



Faris Elasha is Senior Lecturer in Dynamics, he Joined Coventry University on September 2015. Previously he was Research Fellow at Cranfield University. Faris has over 10 years experience as a Mechanical Engineer in Power Generation Industry, through his previous career, he has participated in, and headed, many teams for Power stations maintenance and overhauls management. Faris has First class degree in Mechanical Engineering from Sudan University of Science and Technology (BSc), MSc (Distinction) in Mechanical Engineering Design from The University of Manchester and a Ph.D. in Mechanical Engineering from Cranfield University. Faris research area is rotating machines diagnosis and prognosis. Recent involvement in the renewables area includes contributions towards the design of the first condition monitoring system for tidal turbines.




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.

Dr Elasha 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. His current research investigates Machine diagnostics and prognostics; Asset integrity and management; Gearbox dynamics and design.


Area 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

Research Interests

Rotating Equipment; Dynamics and Vibration; Asset integrity and management; Reliability and Failure analysis; Condition Monitoring and Prognosis


Dive into the research topics where Faris Elasha is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
  • 1 Similar Profiles


Recent external collaboration on country/territory level. Dive into details by clicking on the dots or