About the Project
Qualification type: PhD
Location: Cranfield
Funding for: Self-funded Students
Duration of study: Full Time- three years fixed term
Application deadline : Ongoing until a suitable candidate is identified
Prognostics is an essential part of condition-based maintenance (CBM), described as predicting the remaining useful life (RUL) of a system. It is also a key technology for an integrated vehicle health management (IVHM) system that leads to enhance safety, reliability, maintainability and readiness. Generally, prognostics models can be broadly categorised into experience-based models, data-driven models and physics-based models. More recently, hybrid prognostics approaches have been presented, attempting to leverage the advantages of combining the prognostics models in the aforementioned different categories for a better capability of managing the uncertainty related to system complexity and data availability to achieve more accurate RUL estimations
This PhD project will focus on developing, evaluating, and demonstrating a framework of novel hybrid prognostics solution for selected system use case (e.g. clogging filter, linear actuator, lithium-ion batteries, rotating machinery, aircraft fuel system, APU, and electrical power generation system). A comprehensive test-bed for in-depth studies will be used for experiments for demonstration and evaluation.
The student will have the opportunity to work with experts in the prognostics and condition monitoring field, as well as being part of our
The Integrated Vehicle Health Management (IVHM) Centre is a major collaborative venture at Cranfield, started in 2008, with funding from the East of England Development Agency (EEDA); a consortium of core industrial partners, (Boeing, BAE Systems, Rolls-Royce, Meggitt, Thales, MOD and Alstom); and from EPSRC. The investment, over the first 5 years of operation, was approaching £10M. We are now in our eighth year of operation and the Centre has grown into other sectors (rail, energy, health and agriculture), and is financially self-sustaining; many of the partners (and others) are funding Applied Research projects and there is a growing revenue from EPSRC, TSB and EU funded work
Entry requirements:
• A minimum of a 2:1 first degree in a relevant discipline/subject area (e.g. aerospace, automotive, mechanical, electrical, chemical, computing, and manufacturing) with a minimum 60% mark in the Project element or equivalent with a minimum 60% overall module average.
• 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 6.5).
Also, the candidate is expected to:
• Have excellent analytical, reporting and communication skills
• Be self-motivated, independent and team player
• Be genuine enthusiasm for the subject and technology
• Have the willing to publish research findings in international journals
How to apply:
Before completing the application documentation please contact Dr Zakwan Skaf [Email Address Removed] for an initial informal discussion about this opportunity. Please include the keyword PhD Studentship-Self Funding in the subject field.
If you are eligible to apply for this research studentship, please complete the online application form
For further information contact us today:
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