UK: PhD Studentship in Development of device-independent prognostic model Cranfield University

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Supervisor: Dr. Suresh Perinpanayagam

Duration of award: 3 years

Application deadline: 15 February 2014

Supported by IVHM Centre at Cranfield University, this studentship will provide a bursary of up to £17,000 per annum (tax free) plus UK/EU fees*

Applications are invited for a PhD studentship in the Integrated Vehicle Health Management Centre (IVHM Centre), Cranfield University, in the field of system health management with regard to device independent prognostic model. IVHM uses mechanisms to obtain data on the condition of systems and components which are then analysed to detect faults and even predict when failures will occur. This information is then used to improve the management of maintenance operations.

Electronic systems of industrial applications, such as aerospace applications, are comprised of electronic boards integrates various complicated electronic VLSI systems, ASIC, FPGAs, power convertors, and etc. To facilitate prognostic model, it is necessary that degradation profile of these electronic components are obtained. If even one component is upgraded then a new degradation profile from either accumulation damage or data driven is required again. To that end, it consumes time and cost to upgrade prognostics model with any changes in the system design. In order to overcome the complexity in the current procedure of the prognostics approach is better off to eliminate the dependency of prognostics to physics of the components.

To propose novel prognostic model, this project aims to look into graph and duality theories of circuit topology rather circuitry parts. An advantage is, for instance, if one of the components is replaced with an upgraded one, topology of system still remains the same so the available prognostic model would be valid. Additionally, we want to investigate how, base on these theories, prognostic model of a new system could be developed from those systems that their prognostic models have already been developed. Buck and Boost converters are used as an experiment to demonstrate the success of the novel prognostic model to estimate remaining useful life of one system based on the other system.

Entry Requirements

Applicants for the post must have a first-class or upper second-class degree in Physics, Electrical, or Electronics Engineering. Good interpersonal and communication skills and computer literacy are also required. International students will have to provide a certificate to prove their level of English.

Funding

* Due to funding restrictions applicants must have

  • no restrictions on how long you can stay in the UK, i.e. no visa restrictions or have ‘settled status’, and
  • have been ‘ordinarily resident’ in the UK for 3 years prior to the start of the grant and
  • not been residing in the UK wholly or mainly for the purpose of full-time education. (This does not apply to UK or EU nationals).

How to apply

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

Further information – Mohammad Samie (m.samie@cranfield.ac.uk).

For further information, contact us today:

School of Applied Sciences
T: +44 (0)1234 754086
E: appliedsciences@cranfield.ac.uk

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