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Durham University

Department of Engineering

Staff Profile

Dr Donatella Zappalá, PhD MSc MIET

Research Associate in the Department of Engineering
Telephone: +44 (0) 191 33 42469

(email at donatella.zappala@durham.ac.uk)

Biography

Donatella Zappalá is a Research Associate in the School of Engineering and Computing Sciences.

She earned the MSc Environmental Engineering Degree at Universita`di Perugia (Italy) in 2008 and graduated with the MSc in New and Renewable Energy from Durham University in 2010. She received the PhD degree from Durham University in 2015 with a thesis on advanced condition monitoring techniques for wind turbines.

Her current research is concerned with the development of wind turbine electrical and mechanical fault detection algorithms by using the condition monitoring test rig developed at Durham University. Specifically she is responsible for the development of new techniques, as a move towards automated condition monitoring, and interaction with industry partners.

Publications

Chapter in book

Conference Paper

  • Brigham, K., Zappalá, D., Crabtree, C.J. & Donaghy-Spargo, C. (2018), Automated Fault Detection in Wind Turbine Induction Generators with Rotor Electrical Asymmetry, International Conference on Power Electronics, Machines and Drives. Liverpool, UK.
  • Zappalá, D., Crabtree, C.J. & Hogg, S. (2018), Investigating wind turbine dynamic transient loads using contactless shaft torque measurements, IET Renewable Power Generation Conference 2018. Technical University of Denmark (DTU), Copenhagen, Denmark.
  • Smith, C.J., Zappalá, D., Crabtree,C.J., Lapiedra, J. & Mulholland, B. (2018), Power Converter Junction Temperature Measurement using Infra-red Sensor, International Conference on Power Electronics, Machines and Drives. Liverpool, UK.
  • Zappalá, D., Crabtree, C.J., Smith, C.J., Lapiedra, J. & Mulholland, B. (2017), Converter Reliability in Wind Turbines today – Onshore & Offshore, HUSUM Wind 2017. Husum, Germany.
  • Secker, M., Crabtree, C.J. & Zappalá, D. (2015), Wind Turbine Non-Intrusive Torque Monitoring, European Wind Energy Conference, Scientific Track. Paris, France, European Wind Energy Association.
  • Zappalá, D., Crabtree, C.J., Vilchis-Rodriguez, D.S., Tavner, P.J., Djurović, S. & Smith, A.C. (2014), Advanced Algorithms for Automatic Wind Turbine Generator Fault Detection and Diagnosis, European Wind Energy Conference, Scientific Track. Barcelona, Spain, European Wind Energy Association.
  • Crabtree, C.J., Zappalá, D., Tavner, P.J. & Hogg, S.I. (2014), Electrical Fault Detection Using Mechanical Signals, European Wind Energy Conference, Scientific Track. Barcelona, Spain, European Wind Energy Association.
  • Zappalá, D., Tavner, P.J., Crabtree, C.J. & Sheng, S. (2013), Sideband Algorithm for Automatic Wind Turbine Gearbox Fault Detection and Diagnosis, European Wind Energy Conference, Scientific Track. Vienna, Austria, European Wind Energy Association.
  • Zappalá, D., Tavner, P.J. & Crabtree, C.J. (2012), Gear Fault Detection Automation Using WindCon Frequency Tracking, European Wind Energy Conference, Scientific Track. Copenhagen, Denmark, European Wind Energy Association.

Journal Article

Report