Responsible for power cable assessment based on condition monitoring techniques. Rich  experience  in  R&D  in  autonomous  system  in non-destructive testing, condition monitoring and defect diagnosis, including pattern recognition, data analysis and insulation material experiments. Yang has been responsible for running the comparative test programme using CTS-enabled cable (two versions) and conventional cable, and subsequent modelling on COMSOL, MATLAB and DIgSILENT software.

Education and qualifications:

2014 – 2017            Glasgow Caledonian University, School of Engineering and Built Environment

PhD in Engineering (Full scholarship)

Thesis Title: Development of on-line measurement technique for power cables

Supervisor:       Professor Chengke Zhou (IET Fellow)

Dr. Donald M. Hepburn

2013 – 2016           Wuhan University, School of Electrical Engineering

M.Sc in Electrical Engineering Supervisor: Professor Wenjun Zhou Distinction (90%)

2009 – 2013           Wuhan University of Technology, School of Automation B.A. in Electrical Engineering and Automation Distinction (90%)

HONOURS

2014 – 2017           Glasgow Caledonian University PhD Full Scholarship

2013 – 2014           Wuhan University Third Class Scholarship

2012 – 2013           Wuhan University of Technology Excellent Graduate

2011 – 2012           National Scholarship, “Excellent College Student”

2010 – 2011           First Class University Scholarship, “Excellent Student Leader”

2009 – 2010           Second Class University Scholarship, “Excellent College Student”

PARTICIPATED PROJECTS

2013 – 2014           Cable Life Management Based on Historical Failure Data. China State Grid, 2012-2014.

2013 – 2015           Cable   Assets   Management   and   diagnosis   Based   on   Partial Discharge, Circulating Current and Dielectric Loss Monitoring. China State Grid, 2013-2015.

2016 – 2017           Motor   PD   Identification   and   Recognition   Based   on   On-line Monitoring of Current on Earthing Strip. EDF Energy, 2014-2017.

2017 – Now            Single generator unit performance evaluation tool. Aggreko PLC, 2017.

QUALIFICATIONS

       IELTS 7.0 (2014)

       National Computer Rank Examination -C Language (2010)

       Certificate to teach for large and small groups (2016, GCU)

       IEEE Membership (2015 – now)

       IEEE IAS Membership (2015 – now)