Multiattribute comprehensive method for structural fault diagnosis of transformer

Abstract

The invention discloses a multiattribute comprehensive method for structural fault diagnosis of a transformer based on various detection methods. A multiattribute diagnosis model with two-stage structures is built; comprehensive diagnosis is carried out through various detection methods, such as a short circuit impedance method, a frequency response method and a capacitance method. Possible states of the transformer are described through grades. An analytic hierarchy process is introduced to calculate every detection method and the weight coefficients of corresponding criteria. On the basis of the evidential reasoning theory, the comprehensive diagnosis is carried out to the conclusions obtained through the various detection methods; the possible states of the transformer are represented in a probability form. According to the invention, the structural fault diagnosis problem of the transformer under conditions that the original data are missed and various judging conclusions are at variance is solved; the real state of the power transformer can be judged accurately; and the subject factor influence is reduced.

Description

technical field [0001] The invention belongs to a transformer structural fault diagnosis method, and more specifically relates to a multi-attribute comprehensive method for transformer structural fault diagnosis based on multiple detection means. Background technique [0002] Structural failure is one of the main causes of power transformer damage accidents. Structural fault diagnosis of the transformer after transportation or short-circuit impact can ensure the safe and stable operation of the transformer. At present, the commonly used off-line detection methods for transformer structural faults mainly include frequency response analysis (Frequency Response Analysis, FRA), short circuit impedance method (Short Circuit Impedance Method, SCI) and capacitance method (Capacitance Method, C). A large number of field tests have shown that due to the limitations of field measurement accuracy, original comparable data and fault diagnosis criteria, it is difficult to accurately ref...

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide a multi-attribute comprehensive method for structural fault diagnosis of transformers based on multiple detection methods to solve the problem that a single detection method is difficult to accurately reflect the structural faults of transformers, and to improve the accuracy of structural fault diagnosis of transformers. reliability

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