This PhD project aims to develop a novel modelling framework of mechanical component lifecycle for better RUL prediction in terms of uncertainty estimation and reduction.

Remaining useful life (RUL) prediction is a process using prediction methods to forecast the future performance of components or systems and obtain the time left before them loses its operation ability. Knowing the RUL of a system is essential for maintenance decision making and contingency mitigation. Its ultimate aim is to increase availability, reliability and safety; and reduce maintenance costs. Apart from maintenance, the estimation of RUL has also an important role in the management of product reuse and recycle which has strategic impacts on energy consumption, raw material use, pollution and landfill.

The student will be based at Through-life Engineering Services (TES) Centre at Cranfield. The TES Centre focuses on developing knowledge, technology and process demonstrators to provide the capability for the concept design of high value engineering systems based on design and manufacturing for through-life engineering services. The student will also work with the core industrial partners of TES Centre to develop a user case to apply this framework to industrial components in aerospace sector.

At a glance

  • Application deadlineOngoing
  • Award type(s)PhD
  • Duration of award3 years
  • EligibilityEU, Rest of World
  • Reference numberSATM0004


Dr Yifan Zhao

Entry requirements

Applicants should have a first or second class UK honours degree or equivalent in a related discipline, such as computer science, mathematics, or engineering. The candidate should be self-motivated and have excellent analytical, programming, reporting and communication skills.



Cranfield Doctoral Network

Research students at Cranfield benefit from being part of a dynamic, focused and professional study environment and all become valued members of the Cranfield Doctoral Network. This network brings together both research students and staff, providing a platform for our researchers to share ideas and collaborate in a multi-disciplinary environment. It aims to encourage an effective and vibrant research culture, founded upon the diversity of activities and knowledge. A tailored programme of seminars and events, alongside our Doctoral Researchers Core Development programme (transferable skills training), provide those studying a research degree with a wealth of social and networking opportunities.

How to apply

For further information please contact:
Dr Yifan Zhao

If you are eligible to apply for this research studentship, please complete the online application form.

For further information contact us today:
T: +44 (0)1234 758540