Wind Energy Technology
SUPERGEN Wind Energy Technology
Energy Programme  
  Sustainable Power Generation and Supply - Phase 2  


Bindi ChenBindi Chen

Academic History
Bindi received his MSc with Distinction from Durham University in 2010. Currently, he is a PhD student at Durham University.

Research Topic
Renewable Energy System - His research examines the use of Artificial Intelligence approaches to detect wind turbine faults and the large-scale Wind Farm management.

Research Description

1. Fault diagnosis and identification (Wind Turbine)

2. Data mining & Machine Learning

3. Big Data analysis

4. Probabilistic Graphical Models (Bayesian Network, Markov Network, reasoning and inference)

5. Knowledge-based system (Knowledge representation and reasoning)

For more information, you can visit or Durham University Staff Profile

Last updated :