A Method and System for Correcting Ultrasonic Partial Discharge Detection

Abstract

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.

Description

technical field [0001] The invention relates to the technical field of partial discharge signal detection, in particular to a method and system for correcting ultrasonic partial discharge detection. Background technique [0002] In order to ensure the safe and stable operation of the equipment, insulation performance testing and fault diagnosis are required, and partial discharge is the most important cause of equipment insulation accidents. Therefore, the ultrasonic detection method is used to detect partial discharge in real time of the equipment, so as to fully grasp the real-time operation of the equipment condition, and can predict the insulation state for a period of time in the future, and at the same time adopt appropriate repair and maintenance strategies according to the insulation condition, which is very positive for ensuring the stable and reliable operation of the power supply system. [0003] At present, detection equipment based on ultrasonic detection of par...

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Problems solved by technology

[0004] The above two devices will encounter the following problems in the actual on-site detection: In the detection process of the first type of device, due to the difference in the auditory physiological characteristics of each person, the detection personnel will have different audio signals in the earphones. The test result is closely related to the subjective initiative of the test personnel, which may easily lead to misjudgment; in the second equipment test process, since the fault judgment mostly depends on experience, the reliability of system test is not high

[0005] Therefore, in order to detect ultrasonic partial discharge signals more accurately, some pattern recognition techniques based on statistics have been applied to practical systems, but these techniques also have the following shortcomings in application: (1) The feature dimension is large, requiring a large number of Training data, and PD signals are usually not easy to collect; (2) When the training environment does not match the actual use environment, the performance will drop significantly

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