Condition monitoring and diagnostic assessment of high-voltage equipment, including transformers, insulators, and surge arresters
Partial discharge detection and localisation using acoustic and optical sensing integrated with deep learning techniques (CNNs, LSTMs)
Development and characterisation of advanced dielectric materials, including natural ester-based nanofluids and vegetable oils, for enhanced insulation performance
Application of signal processing and machine learning techniques (feature extraction, classification, SVM) for power system disturbance analysis
Design and implementation of intelligent, data-driven approaches for reliable and efficient power system monitoring