Condition Monitoring of Composite Insulators: A Machine Learning Based Investigation at Martigues Test Station

Composite insulators operating in polluted environments are exposed to complex and highly variable combinations of climatic and contamination-related stresses that govern surface electrical activity. Leakage current is a sensitive indicator of such stress; however, conventional assessment methods based on single-parameter thresholds provide limited insight into real service behaviour. This paper presents a field-based investigation of leakage current activity at