Diagnosis and Classification of Faults in Electric...

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Diagnosis and Classification of Faults in Electric Motors for Electric Vehicle Applications

Eligibility: UK/EU/International students with the required entry requirements

Award Details: No award (self-funding)

Duration: Full Time - between 3 years and 3 years 6 months fixed term

Application deadline: Ongoing

Interview dates: TBC

Start date: September 2018

Informal enquiries are essential before application; contact Dr. Kostas Gyftakis to discuss this opportunity.


Coventry University has been voted ‘Modern University of the Year’ three times running by The Times/Sunday Times Good University Guide. Ranked in the UK’s top 15 (Guardian University Guide), we have a global reputation for high quality teaching and research with impact. Almost two-thirds (61%) of our research was judged ‘world leading’ or ‘internationally excellent’ in the Research Excellence Framework (REF) 2014. By joining the University’s Faculty of Engineering, Environment and Computing (EEC), you will benefit from state-of-the-art facilities and partnerships with some of the biggest names in industry, including Jaguar Land Rover, GE Aviation, Cummins and Intel.

The Project

Environmental constraints and modern reality have caused electric vehicles market to expand rapidly. The electric motor is the heart of the electric vehicle while it converts electric power into mechanical power and allows motion.

Although robust, electrical machines are working under stressful conditions in electric vehicles and close to their limits. That is due to the transient character of the drive-cycle as well the limited space and size restrictions. So, faults may appear which if go undetected will evolve in severity and interrupt the safe, efficient and reliable operation of the vehicle.

The faults may be of different nature, exist in different motor parts and evolve in different ways occurring different end effects. It is crucial to detect faults at incipient level reliably and identify them. Moreover, the determination of the fault level severity is of importance because it will allow the estimation of the remaining useful life and allow for scheduled maintenance or fault tolerance mechanisms.

This PhD project will deal with the evaluation of different electromagnetic variables as to their generalised diagnostic ability in traction motors. Moreover, the ability to estimate the fault level severity will be an important parameter of this work.


  • Self-funded
  • For the academic year 2018/19, any English student who is not in receipt of research council funding can apply to  borrow up to £25,000 to help cover the cost of their PhD tuition fees. Further details can be found here.


  • Our research strategy is underpinned by a £250m investment in research and facilities
  • Dedicated Doctoral College and Centre for Research Capability Development deliver high quality professional support for researchers, from PhD to Professor
  • Free training: research career planning, managing your doctorate, research communication skills, research ethics, research impact, research integrity, research methods and research supervision
  • Coventry is a member of the Doctoral Training Alliance (DTA), the largest multi-partner and only nationwide doctoral training initiative of its kind.

Entry Requirements

Successful applicants will have:

  • A minimum of a 2:1 first degree in a relevant discipline/subject area with a minimum 60% mark in the Project element or equivalent with  a minimum 60% overall module average. 
  • In the event of a first degree classification of less than 2:1, a Masters Degree in a relevant subject area will be considered as an equivalent. The Masters must have been attained with overall marks at minimum merit level (60%). In addition, the dissertation or equivalent element in the Masters must also have been attained with a mark at minimum merit level (60%).
  • the potential to engage in innovative research and to complete the PhD within a three-year period of study
  • a minimum of English language proficiency (IELTS overall minimum score of 7.0 with a minimum of 6.5 in each component)


  • knowledge and/or experience in the subject
  • a good knowledge of electric power engineering with emphasis on electric motors and drives
  • experimental, modelling or analytical experience
  • experience of (or a willingness to quickly learn) about electrical machines and drives.

Eligibility & Application Procedure


All UK/EU/International students are eligible to apply that meet the academic requirements, the eligibility criteria can be found making an application page.