Fault Detection Method for Power Grid Substation Equipment Based on Voice Recognition
Aiming at the limitations of traditional methods for equipment fault detection in power grid substations,a method for equipment fault detection based on voice recognition is proposed.In this method,the running sound of substation equipment is collected by high-precision microphone array,and the audio signal is preprocessed,feature extracted and trained by machine learning model,and finally the fault is accurately identified.Experiments show that this method has a very high accuracy in the detection of various fault types,especially in the identification of transformer overheating fault,the accuracy is as high as 99.8%.This method provides an effective solution for intelligent fault detection of power grid substation equipment.
NETL
NSTL
万方数据
