Staff Directory

Last Updated

19/03/2018

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01522 83 7938

About Yu Zhang

Dr. Yu Zhang is a Senior Lecturer in the School of Engineering, University of Lincoln. She has a broad Engineering background, complemented with specific mathematical and computing skills. Her current research interests focus on the development of data analysis techniques and novel modelling approaches, especially with efficacy in industrial applications, such as clustering analysis, artificial neural networks and grey-box modelling techniques. Her future research will focus on Intelligent Industrial Systems and Advanced Materials Modelling.

Department Responsibilities

International Collaborations (Engineering) Module Leader: Solid Body Mechanics (EGR2012M) Module Leader: Materials Science and Engineering (EGR3025M) Module Leader: Intelligent Systems and Control (EGR9033M) Supervisor of Undergraduate Individual Projects (EGR3024M) Personal Tutor (EGR1018M, MEC3001M)

Subject Specialism

Remote Condition Monitoring, Intelligent Systems, Data Analysis, Advanced Materials Modelling

Qualifications

  • PhD — Department of Civil Engineering, University of Nottingham, Nottingham, U.K., 2011
  • MSc — Department of Civil Engineering, University of Nottingham, Nottingham, U.K., 2005
  • BEng — School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai, China, 2004

Awards

  • Academic Champion for Visiting Professor Scheme Award — Royal Academy of Engineering,
  • MSc Civil Engineering: Balfour Beatty Civil Engineering Prize — Balfour Beatty,
  • Outstanding University Graduate of Shanghai, China 2004 — Shanghai city government, China,

Orcid ID

0000-0002-2842-6340

Research Interests

  • Advanced Materials

  • Data Analysis

  • Fault Detection and Diagnosis

Research Projects

  • Evolutionary Virtual Expert System (EP/R029741/1) — awarded £96359 by EPSRC in 2018
  • Phase 2: Dynamic Modelling of Industrial Gas Turbines for Fault Diagnosis, PI — awarded £60000 by Siemens Industrial Turbomachinery Ltd. in 2017
  • Remote Condition Monitoring of Power Converters and Traction Drives for Railway Applications, PI — awarded £10153 by Dynex Semiconductor Limited in 2017
  • Daily Monitoring Agent Development, Consultancy — awarded £11998 by Siemens Industrial Turbomachinery Ltd. in 2017
  • Intelligent Sensor System for Engine Test of Industrial Gas Turbines, PI — awarded £148494 by Innovate UK (KTP), Siemens Industrial Turbomachinery Ltd. in 2016
  • Phase 1: Dynamic Modelling of Industrial Gas Turbines for Fault Diagnosis, PI — awarded £124526 by Siemens Industrial Turbomachinery Ltd., Siemens, Germany in 2016
  • Research on Industrial Networks and Equipment Fault Diagnosis, Major International Cooperation Projects of Colleges in Guangdong Province (No.2015KGJHZ026), CI — awarded £174955 by Department of Education of Guangdong Province, China in 2016
  • Phase 2: The Development of a Dynamic Energy Control Systems for Food Retailing Refrigeration Systems, CI — awarded £830099 by Innovate UK in 2016
  • Phase 1: The Development of a Dynamic Energy Control Systems for Food Retailing Refrigeration Systems, Feasibility Study, CI — awarded £15924 by Innovate UK in 2015

Research in the Lincoln Repository