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Research on Failure Identification of Partial Discharge Ultrasonic Signal Based on GFCC

Traditional on-line detection of partial discharge based on ultrasonic method has become an important means to detect the insulation condition of electrical equipment. However, most of its detection is based on the threshold value to realize the function similar to “traffic light”, that is, to detect whether partial discharge occurs or not. Gammatone frequency cepstral coefficient (GFCC) is based on human cochlear model and are widely used in voiceprint identification. This paper proposed an extraction algorithm of the characteristic parameter GFCC, and the PD ultrasonic signals of particle discharge and floating discharge are taken as examples, the GFCC of ultrasonic signals of those discharges are extracted. A preliminary partial discharge ultrasonic identification method based on GFCC is proposed. The method can realize on-line intelligent nonintrusive detection of the insulation state of high-voltage equipment, and break the limitation of traditional detection and diagnosis relying on certain threshold or human ear identification.