Dr Y Zhao
Applications accepted all year round
Self-Funded PhD Students Only
About the Project
Start Date: Negotiable
Eligibility: UK, EU, International
Duration of award: 3 years
Supervisors:
Dr Yifan Zhao
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.
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.
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.
Details of partner can be found in:
http://www.through-life-engineering-services.org/index.php/home
How to apply:
For further information please contact: Dr Yifan Zhao, [Email Address Removed]
If you are eligible to apply for this research studentship, please complete the online application form.
For further information contact us today:
School of Aerospace, Transport and Manufacturing
T: 44 (0)1234 758008
E: [Email Address Removed]
Funding Notes
Self-funded