Multi-channel noise based fault diagnosis method of transformer winding

Abstract

The invention discloses a multi-channel noise based fault diagnosis method of a transformer winding, and relates to the technical field of the fault diagnosis of transformers. The method comprises thefollowing steps of firstly collecting a noise signal of a to-be-detected transformer through multiple channels and recording a current signal; afterwards, carrying out load correction on the currentsignal, so as to obtain a noise signal under a normalized current; secondly, carrying out 9-layer decomposition and reconstruction on the noise signal under the normalized current by adopting a wavelet function, and carrying out characteristic quantity extraction, so as to obtain a characteristic quantity of the noise signal of the to-be-detected transformer; comparing the characteristic quantityof the noise signal of the to-be-detected transformer with a corresponding energy characteristic quantity fingerprint, carrying out correlation analysis on each vector element in a matrix of the characteristic quantity of the noise signal of the to-be-detected transformer, and calculating to obtain a correlation coefficient vector and a negative infinite norm; and finally, judging whether a faulthidden danger exists in the to-be-detected transformer or not according to the value of the infinite norm. The internal structure of the transformer is not influenced in a testing process; the influence on the normal running of the transformer does not exist; and further, whether the fault hidden danger exists in the transformer or not can be accurately judged.

Description

technical field [0001] The invention relates to the field of transformer fault diagnosis, in particular to a multi-channel noise-based transformer winding fault diagnosis method. Background technique [0002] Transformer is one of the most important equipment in the power system, and its safe operation has been closely related to the national economic development. If the transformer fails, it will cause a large-scale power outage, which will not only affect the production of the factory, but also affect the lives of the people. Therefore, it is of great significance to carry out the research on transformer fault diagnosis methods, discover hidden dangers of transformer accidents in time, avoid sudden accidents, and improve the reliability of transformer operation. [0003] Transformer winding faults are mainly due to irreversible changes in the mechanical structure of the windings under the action of electromagnetic force or mechanical force. Common ones include winding loo...

AI Technical Summary

Problems solved by technology

[0005] The purpose of the present invention is to provide a transformer winding fault diagnosis method based on multi-channel noise, which solves the shortcomings and deficiencies of the traditional vibration analysis method based on the transformer oil tank surface vibration test, and the transformer winding fault diagnosis method based on single-point noise signals. The disadvantages of less information, poor anti-interference ability, and low accuracy

Images