Based on Sugeno fuzzy integral combined multi-parameter partial discharge diagnosis

摘要

Affected with testing equipment, testing environment, Single partial discharge detection method, Anti-jamming capability poor. This paper presents a multi-parametric method for partial discharge diagnosis, First, extract the high-frequency discharge signals, UHF, Ultrasonic Information Feature, Proposed graph-based method for high-frequency current discharge signals in high-frequency component is analyzed, PSO proposed variation of ultrasonic components for analysis, Neural network algorithm for special high-frequency component is analyzed, By constructing fuzzy measure, Fuzzy Integral Calculation, Data fusion of multiple classifiers, Improve diagnostic accuracy.