SF6 device secondary fault diagnosis method based on mass data parallel computation

Abstract

The invention discloses an SF6 device secondary fault diagnosis method based on mass data parallel computation. According to the corresponding relationship between the SF6 decomposed gas component content and the fault type in an electrical device, firstly, a secondary fault diagnosis model of an SF6 electrical device is parallelly constructed, and the modeling efficiency is improved. Then parallel diagnosis of the SF6 electrical device is achieved, the diagnosis rapidity and accuracy in a big data environment are improved. The parallel diagnosis process of the SF6 device secondary fault diagnosis method is that each lab diagnoses different pieces of data at the same time, specifically, a decision tree model is employed to carry out primary diagnosis on the pieces of data and determine whether the device has a fault, and therefore the mass data processing speed is increased. For fault data, the fault type is accurately determined through a neural network model. By employing the SF6 device secondary fault diagnosis method, the diagnosis result can be obtained only through simple data processing, the demand on the professional skill of an operator is greatly reduced, when a lot of SF6 electrical devices are diagnosed, the diagnosis efficiency is greatly improved.

Description

technical field [0001] The invention relates to the technical field of electric power systems, in particular to a secondary fault diagnosis method for SF6 equipment based on massive data parallel operation. Background technique [0002] With the development of my country's electric power industry, the application of SF6 electrical equipment in the transmission network is more and more extensive, and its operation reliability directly affects the safe and stable operation of the power grid. Due to possible defects in the design, manufacture, operation and maintenance of the equipment, partial discharge or even arc discharge occurs inside the equipment, and some SF6 molecules decompose, and the decomposition products generally have high chemical activity and corrosiveness, causing the insulation performance of the equipment to decline. Grid security. Therefore, timely detection of the internal defects of SF6 electrical equipment is of great significance to ensure the safe ope...

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Problems solved by technology

Among them, the pulse current method, ultrasonic method and UHF method cannot accurately judge the fault type and severity of the equipment

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