Photo of Yuchun Xu
  • Aston Triangle, Main Building 147C

    B4 7ET Birmingham

    United Kingdom

Accepting PhD Students

PhD projects

Life Extension of High Value Engineering Asset Based on Smart Condition Monitoring Manufacturers need to increase the availability of their engineering asset, in order to reduce unscheduled downtime and maximise the asset utilisation. This requires techniques managing maintenance and extending the asset’s life. Condition monitoring offers a predictive approach to asset maintenance, ensuring optimum asset performance while keeping downtime to a minimum. This PhD project will develop a system solution to predict the machine failure effectively and efficiently. You need to have a first class or upper second class honours degree or equivalent qualification in Mechatronics, Electronics Engineering, Computer Science to apply for this post. Knowledge/experience of condition monitoring, signal processing, data analysis, programming on Matlab or other professional software are preferred. Please contact Dr Yuchun Xu (y.xu16@aston.ac.uk) with your CV for more details.

20082020

Research output per year

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Network

Cranfield University

External organisation: Fee funding body

Beihang University

External organisation: Fee funding body

Queens University Belfast

External organisation: Fee funding body

Robert Gordon University

External organisation: Fee funding body

QinetiQ

External organisation: Not specified

Loughborough University

External organisation: Fee funding body

University of Bath

External organisation: Fee funding body

University of Durham

External organisation: Fee funding body

University of Sheffield

External organisation: Fee funding body

University of Surrey

External organisation: Fee funding body

Airbus UK ltd

External organisation: Funding body