Fault identification method and system based on partial discharge and oil pressure detection

Abstract

The invention provides a fault identification method and system based on partial discharge and oil pressure detection, and the fault identification method comprises the steps: S101, supplying power to electrical equipment with different fault types, and obtaining the partial discharge data during the partial discharge; s102, performing curve fitting on the partial discharge data through a neural network algorithm, and obtaining a characteristic curve corresponding to each fault type through a curve fitting result; s103, obtaining the error sum and the discharge capacity of the tested electrical equipment relative to different oil pressure change curves according to the partial discharge data of the tested electrical equipment; and S104, determining the fault type of the detected electrical equipment according to the error sum, and carrying out safety early warning through the discharge capacity. The accuracy of fault identification and discharge capacity acquisition is improved in a curve fitting mode, different faults can be diagnosed and identified in real time, the problem that characterization is not timely at the beginning stage of the faults is solved, and the sensitivity and the real-time performance of fault detection are improved.

Description

technical field [0001] The invention relates to the field of fault detection of electrical equipment, in particular to a fault recognition method and system based on partial discharge and oil pressure detection. Background technique [0002] With the development of power systems, oil-immersed current transformers, casings and other oil-immersed electrical equipment have been more and more widely used in high-voltage power systems. However, electrical equipment often needs to work under high temperature, high pressure, and high load conditions, and it is prone to failure. If the fault cannot be found in time, it will lead to insulation damage, and in serious cases, safety accidents will occur, such as damage, explosion, etc. [0003] Therefore, online condition monitoring of power equipment is very important. Insulating oil in oil-immersed equipment is a mineral oil obtained by distilling and refining natural oils. Characteristic gases are produced when equipment fails wit...

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Problems solved by technology

[0004] However, the release and dissolution of characteristic gas is an accompanying process, which leads to slow change in the case of low energy density discharge of oil pressure, poor sensitivity of fault detection, oil pressure change requires accumulation of characteristic gas, and there is a problem of untimely characterization at the beginning of the fault question

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