The invention provides a method of correcting supersonic wave
partial discharge detection. The method comprises the following steps of extracting a plurality of
partial discharge signal linearity frequency spectrums from historical data and then
processing to acquire a
coefficient matrix and a principal component characteristic of each
partial discharge signal, and constructing a classification model of the partial
discharge signals and each type of a
linearity frequency spectrum mean value; acquiring a
linearity frequency spectrum mean value of pure
noise signals, and according to the
coefficient matrix, acquiring a classification model of pure
noise supersonic wave signals; adding each type of the linearity
frequency spectrum mean value of the partial
discharge signals to the linearity frequency spectrum mean value of the pure
noise signals and correcting the classification model of the partial
discharge signals; acquiring a
signal to be detected, according to the
coefficient matrix, acquiring a principal component characteristic of the signal to be detected and introducing into the classification model corrected by the pure noise and the partial discharge signals, and screening signal output with a minimum
Euclidean distance in the corresponding classification model. By using the method, an artificial factor interference is avoided, an introduced characteristic dimension is low and training data is less so that purposes of labor saving and time saving, and an objective detection result are reached.