Motor monitoring method and system based on symmetrical component method and multi-dimensional index fusion

Abstract

The invention discloses a motor monitoring method based on a symmetrical component method and multi-dimensional index fusion. The method comprises the steps of collecting an original three-phase voltage signal and an original three-phase current signal; building a bandpass filter using a fundamental frequency as a center, and thus acquiring the filtered three-phase voltage signal and three-phase current signal; acquiring unbalance degrees of an instantaneous three-phase voltage and an instantaneous three-phase current; performing symmetrical component decomposition based on the filtered three-phase voltage signal and three-phase current signal to acquire a sequence voltage, a sequence current and a sequence impedance; and acquiring a multi-dimensional characteristic comprehensive decisionindex; comparing the multi-dimensional characteristic comprehensive decision index with a threshold, and if the multi-dimensional characteristic comprehensive decision index is less than the threshold, triggering an alarm signal. According to the method provided by the invention, based on the collected three-phase voltage and current signals, the real-time sequence voltage, sequence current and sequence impedance indexes can be improved, the higher data resolution capacity can be achieved, the alarm under the state that is more accurate than the alarm strategy based on temperature can be achieved, the sequence voltage, sequence current and sequence impedance are used as monitoring targets, the extremely high signal to noise ratio is achieved, and the alarm accuracy is high.

Description

technical field [0001] The invention relates to the technical field of online motor monitoring, in particular to a motor monitoring method and system based on a symmetrical component method and multidimensional index fusion. Background technique [0002] The reliability and life of motor operation are largely determined by its insulation performance. Therefore, the development of insulation state assessment technology to accurately evaluate the health status of traction motor insulation will help to improve the safety of motor operation, reduce the risk of motor operation, and reduce Reduce maintenance costs and improve maintenance efficiency. [0003] The motor insulation state evaluation technology is divided into offline detection technology and online monitoring technology. The off-line detection technology has developed maturely, and related detection products such as insulation resistance and capacitance test equipment have been very mature, and are widely used in mot...

AI Technical Summary

Problems solved by technology

First of all, the temperature-based online monitoring technology uses the insulation temperature as the monitoring target, and triggers an alarm when the temperature exceeds the preset temperature threshold. Current monitoring requirements for important motors with high real-time, high precision, and high accuracy

Secondly, the online monitoring technology based on the unbalance of three-phase voltage and current takes the instantaneous unbalance of three-phase voltage and three-phase current as the monitoring target, and trigger

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