In response to the issue of difficulty in real-time and accurate monitoring of partial discharge faults in switchgear,research on online monitoring methods based on Hilbert modulus spectrum analysis is carried out.By designing ultra-high frequency signal preprocessin g,noise interference is effectively filtered out to enhance signal quality.Utilizing Hilbert modulus spectrum analysis technology,the characteristic parameters of partial discharge signals are deeply extracted,especially key features such as the percentage of low and intermediate frequency energy.By combining feature parameters,the Mahalanobis distan ce between features and various types of discharge faults is calculated to achieve online monitoring and accurate identification of partial discharge faults in switchgear.Through comparative experiments,it has been proven that this method can significantly improve the accuracy of fault detection and provide a strong guarantee for the safe operation of switchgear.
维普
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