A New Method to Fault Diagnosis for Circuit Breakers Based on Characteristic Entropy of Wavelet Packet

In this paper a new method to fault diagnosis for circuit breakers is presented based on the principle of wavelet packet and characteristic entropy. The method introduces the way to abstract the characteristic entropy from vibration signals of HVCB. Firstly, the vibration signal is decomposed by the...

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Bibliographic Details
Published in2011 Second International Conference on Digital Manufacturing & Automation pp. 63 - 67
Main Authors Laijun Sun, Mingliang Liu, Haibo Qian, Changming Qiao
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2011
Subjects
cirCuit breaker
Circuit breakers
Circuit faults
Entropy
Fault diagnosis
Time frequency analysis
Vibrations
wavelet packet
Wavelet packets
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Summary:In this paper a new method to fault diagnosis for circuit breakers is presented based on the principle of wavelet packet and characteristic entropy. The method introduces the way to abstract the characteristic entropy from vibration signals of HVCB. Firstly, the vibration signal is decomposed by the three-layer wavelet packet, and eight signals of each junction at the third level are reconstructed; Secondly, the characteristic vector is extracted from the envelopes of reconstructed signals; and lastly the Euclidean distance between the vectors of normal state and fault states is seemed as characteristic parameter for fault diagnosis of HVCB. The experimentation without loads indicates this method can easily and accurately diagnose the faults of HVCB, and detect the state change of circuit breakers both in time domain and frequency domain at the same time.
ISBN:1457707551
9781457707551
DOI:10.1109/ICDMA.2011.24