PhD in Design of Vehicle Health Management Processor for Real Time Failure Analysis of Avionic Systems
国际学生入学条件
A minimum of a 2:1 first degree in a relevant discipline/subject area (e.g. electronics)
A minimum 60% mark in the Project element or equivalent with a minimum 60% overall module average.
A minimum of English language proficiency (IELTS overall minimum score of 6.5).
Good understanding of analogue and digital circuit design
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
TOEFL
TOEFL iBT (we accept TOEFL iBT, TOEFL iBT Home Edition and TOEFL iBT Paper Edition) - 92 total and minimum skill component scores of 20 reading, 20 listening, 21 speaking and 20 writing.
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雅思考试总分
6.5
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- 雅思总分:6.5
- 托福网考总分:92
- 托福笔试总分:160
- 其他语言考试:PTE Academic UKVI - 65 overall and 62 in all skill components.
课程简介
This research aims to explore and develop a novel processor, as a single Integrated Circuit (IC), architected specifically to fulfil all the required computations needed for IVHM within a Heterogeneous Distributed System design (HDS). Even with the latest advances in current technology, aviation electronics is facing with various reliability and security issues arising from either working in harsh environment and weaknesses in embedded electronics. It causes serious problems and dangers in different avionic applications fitted to aircraft, satellites, and spacecraft to perform individual functions varied from communications, navigation, display, management, and hundreds of other systems. Lots of efforts have been already put toward Integration of System Health Management, IVHM, to mainly overcome reliability issues by the creation of a predictable maintenance solution. IVHM requires a transformation of system data into information to support operational decisions and optimise maintenance by facilitating system prognostics, diagnostics, self-healing and self-management techniques.
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