Fault diagnosis method of capacitive equipment

Abstract

The invention provides a fault diagnosis method of capacitive equipment. The fault diagnosis method comprises the following steps of: utilizing a grey correlation analysis method to obtain a grey correlation degree between a dielectric loss factor tandelta of the capacitive equipment and an environmental factor and taking the obtained grey correlation degree as characteristic quantity to establish a matter-element model of the capacitive equipment to be diagnosed; and then, gaining the grey correlation degree between the matter-element model of the capacitive equipment to be diagnosed and each pre-established typical fault matter-element model by applying an extension theory; and finally, comparing the grey correlation degrees to judge that the equipment has the type of fault if the grey correlation degree between the matter-element model of the capacitive equipment to be diagnosed and the type of fault matter-element model is the highest. According to the invention, influences on diagnosed results by the environmental factor are effectively eliminated, not only various probable faults can be accurately diagnosed, but also the condition that a plurality of the faults simultaneously happen can be diagnosed. The method provided by the invention has the advantages of definite physical meaning and easiness of realizing programming.

Description

technical field [0001] The invention relates to a method capable of accurately diagnosing insulation faults of capacitive equipment, which belongs to the technical field of testing. Background technique [0002] Capacitive equipment is an important power transmission and transformation equipment, mainly including current transformers (TA), bushings, coupling capacitors, capacitive voltage transformers (CVT), etc., accounting for about 40% to 50% of the total substation equipment. It occupies an important position in the substation, and its insulation fault not only affects the safe operation of the entire substation, but also endangers the safety of other equipment and people. Therefore, it is of great significance to accurately diagnose the fault of the capacitive equipment. [0003] At present, some research institutions have developed an online monitoring system for the insulation of capacitive equipment, but there are relatively few studies on the fault diagnosis of capa...

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Problems solved by technology

[0004] Using dielectric loss tangent ( ) to qualitatively judge the insulation fault due to The online monitoring and offline test data will be affected by environmental factors (temperature, humidity, etc.), so the judgment result of equipment failure will also be affected by environmental factors, resulting in misjudgment or missed judgment, and this method cannot distinguish faults different types, unable to guide the maintenance, and the di

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