Real-time fault detection technology for power transmission and distribution equipment based on intelligent sensing
A deep temporal recognition network consisting of temporal convolutions, residual propagation, and attention aggregation is proposed to model the evolution of short-term disturbances, persistent fluctuations, and abrupt anomalies and maintains lower response delay and more stable real-time fault response capability.