The invention relates to a power distribution network fault detection method based on generalized S transformation containing variable factors, and belongs to the technical field of power distribution network fault detection. Data such as a time-
frequency spectrum and transient energy are obtained through generalized S transformation containing variable factors, and three line selection criteria of a time-
frequency spectrum comprehensive similarity coefficient, a transient energy
peak value and a transient energy relative entropy are constructed; and multi-criterion fusion is realized in combination with a D-S evidence theory, so that a line selection result of a single criterion is subjected to comprehensive analysis of multi-criterion fusion, and a more accurate line selection result is obtained. According to the method, accurate line selection can be carried out in different fault distances, fault lines, fault initial angles, fault grounding resistances and
noise environments, and the method has good adaptability, sensitivity and anti-interference performance. According to the method, the calculated transient energy characteristics are converted into a reliability
distribution function to construct an evidence combination, and different fault characteristic quantities are utilized to measure the credibility to construct a line
selection criterion, so that mutual
complementation and mutual fusion are realized, and a more accurate line selection result is obtained.