High-voltage vacuum circuit breaker mechanical fault diagnosis method and system

Abstract

The invention discloses a high-voltage vacuum circuit breaker mechanical fault diagnosis method and system. The method comprises the steps: obtaining vibration signals at two different positions of ahigh-voltage vacuum circuit breaker of an electromagnetic repulsion mechanism through an acceleration sensor; carrying out time-frequency analysis on the obtained vibration signals at the two different positions in the same group through S transformation, and obtaining an S transformation mode matrix; and extracting energy entropy from the S transformation mode matrix as a feature vector to traina vector machine model, and obtaining a support vector machine training model. By means of the characteristic that the S transformation time-frequency resolution is high, energy distribution of the signals in a time-frequency plane can be visually seen after the vibration signals are subjected to S transformation, and the distinguishability in different states is high; the proposed fault diagnosismodel achieves a better diagnosis effect, and a new idea is provided for the mechanical fault diagnosis of the high-voltage vacuum circuit breaker under a small sample; and the mechanical fault occurring in the high-voltage vacuum circuit breaker of the electromagnetic repulsion mechanism can be accurately, reliably and quickly identified.

Description

technical field [0001] The invention belongs to the technical field of electrical fault detection, and in particular relates to a method and system for diagnosing a mechanical fault of a high-voltage vacuum circuit breaker. Background technique [0002] In recent years, high-voltage vacuum circuit breakers have been widely used and developed in power systems. But at the same time, the power system also puts forward higher requirements for rapidity, reliability and economy for its mechanical switches and operating mechanisms. Therefore, a new type of electromagnetic repulsion mechanism has been applied in high-voltage vacuum circuit breakers. At present, the research on the electromagnetic repulsion mechanism mainly focuses on the design and improvement of the mechanical structure, ignoring the problem of its mechanical failure. Therefore, it is necessary to monitor and diagnose the mechanical faults in the electromagnetic repulsion mechanism. [0003] At present, the mech...

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Problems solved by technology

The existing signal processing methods are mainly wavelet packet decomposition and empirical mode decomposition, but how to choose a suitable basis function is a difficult problem in wavelet packet analysis. Empirical mode decomposition also has boundary effects and modal aliasing phenomena, which affect the quality of feature quantities. effectiveness

As the inheritance and development of wavelet transform and short-time Fourier transform, S transform eliminates the choice of window function and improves the disadvantage of fixed window width. There are certain restrictions in its use

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