This research theme focuses on condition monitoring and life prediction of electrical assets (such as, transformers, underground cables and overhead conductors).

Many assets in the electricity transmission and distribution sectors are operating beyond their normal rated life. Their remnant life is affected by ageing and other operating environments. Instrumentation for condition monitoring and protection of power system assets and developing ageing models based on laboratory and field measurements to quantify the ageing of assets and prediction of remnant life due to multi-factor ageing mechanisms are the focus areas.

Signal processing and machine learning applications are applied in power system asset management, which also includes appropriate sensing devices to improve the visibility of asset condition to extract information of asset health, and modelling to understand asset ageing mechanisms and their impact on remaining life.

High frequency and transient modelling of grid connected Power Electronics in renewable energy system are also investigated by our work.