Application of Multiscale Entropy in Mechanical Fault Diagnosis of High Voltage Circuit Breaker

Mechanical fault diagnosis of a circuit breaker can help improve the reliability of power systems. Therefore, a new method based on multiscale entropy (MSE) and the support vector machine (SVM) is proposed to diagnose the fault in high voltage circuit breakers. First, Variational Mode Decomposition...

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Bibliographic Details
Published inEntropy (Basel, Switzerland) Vol. 20; no. 5; p. 325
Main Authors Dou, Longjiang, Wan, Shuting, Zhan, Changgeng
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 28.04.2018
MDPI
Subjects
Circuit breakers
Circuit reliability
Data encryption
Electric potential
Entropy
Experimentation
Fault diagnosis
High voltages
Multiscale analysis
Signal processing
Support vector machines
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Summary:Mechanical fault diagnosis of a circuit breaker can help improve the reliability of power systems. Therefore, a new method based on multiscale entropy (MSE) and the support vector machine (SVM) is proposed to diagnose the fault in high voltage circuit breakers. First, Variational Mode Decomposition (VMD) is used to process the high voltage circuit breaker’s vibration signals, and the reconstructed signal can eliminate the effect of noise. Second, the multiscale entropy of the reconstructed signal is calculated and selected as a feature vector. Finally, based on the feature vector, the fault identification and classification are realized by SVM. The feature vector constructed by multiscale entropy is compared with other feature vectors to illustrate the superiority of the proposed method. Through experimentation on a 35 kV SF6 circuit breaker, the feasibility and applicability of the proposed method for fault diagnosis are verified.
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ISSN:1099-4300
1099-4300
DOI:10.3390/e20050325