A Hybrid Sensing-Based On-Line Monitoring and Identification System for Motor Stator Winding Partial Discharge

Abstract

The invention relates to a hybrid sensing-based on-line monitoring and identification system for the stator winding of a motor, comprising: a hybrid sensing device, a data acquisition module and a data processing module; The phase high-frequency current signal and the three-phase high-frequency current signal; the data acquisition module is used to extract the characteristic quantity of the signal collected by the hybrid sensing device; the data processing module separates the interphase partial discharge signal and the Partial discharge signal to ground. The invention not only preprocesses different partial discharge signals in the sensing link, reduces the processing difficulty of monitoring signals, but also realizes the separation and identification of different partial discharge signals by using relatively low computing resources, which is not only beneficial to the insulation of rotating electrical machines The identification of the cause of deterioration is beneficial to improve the reliability of the motor and the overall efficiency of industrial production.

Description

technical field [0001] The invention relates to the field of state evaluation and fault diagnosis of power distribution equipment, in particular to an on-line monitoring and identification system for partial discharge of motor stator windings based on hybrid sensing. Background technique [0002] The rotating electrical machine is the core equipment of modern industrial production. Once the rotating electrical machine breaks down due to unplanned power failure, it will bring huge losses to the industrial production. According to statistics, the insulation damage of the stator winding is one of the most important causes of the failure of the rotating electrical machine. Since the partial discharge can directly reflect the insulation deterioration of the stator winding, the real-time grasp of the partial discharge status will help to obtain the insulation status of the rotating electrical machine. It is essential to improve the reliability of rotating electrical machines and t...

AI Technical Summary

Problems solved by technology

[0005] Aiming at the technical problems existing in the prior art, the present invention provides a motor stator winding partial discharge online monitoring and identification system based on hybrid sensing, which preprocesses different partial discharge signals in the sensing link to reduce the difficulty of signal processing, and then Solve the problem that the existing technology cannot separate and identify partial discharge signals in different situations, and the problem of high computing resources required by the existing technology

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