“In the field of smart grid, researchers have proposed an intelligent detection method that integrates multi-source signal acquisition, deep feature learning, and fusion positioning mechanism. The fault type recognition rate reaches 98.7%, and the positioning error is less than 1%, providing a new method for accurate diagnosis of smart grid faults.”