Dynamics and Acoustic Emission Characteristics of Free Metallic Particles in GIS

This study investigates the fault mechanisms induced by metal particle movement in Gas-Insulated Switchgear (GIS). Through theoretical derivation, the velocity of metal particles during periodic motion was determined, and this velocity parameter was incorporated into an established digital twin model to analyze the characteristic acoustic emission signals generated by particle-enclosure collisions. The research employs advanced multiphysics simulation technology integrating mechanical-acoustic coupling effects to precisely calculate particle collision forces and construct acoustic signal propagation models. The study reveals the intrinsic relationship between collision cycles and electric field excitation while effectively simulating the distribution patterns of both sound pressure and vibration acceleration on the enclosure surface under different operating conditions. The obtained vibration signals at various measurement points demonstrate that the most significant vibration signals occur directly beneath the particle impact location. This finding suggests that positioning vibration sensors directly below potential impact points can effectively capture particle movement signals, thereby significantly improving equipment operational reliability. These discoveries show promising potential for application in next-generation intelligent maintenance systems for power equipment, enabling early warning of insulation failures and providing critical technical support for predictive maintenance of power infrastructure.