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

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5 Author(s)
Laijun Sun ; Coll. of Autom., Harbin Eng. Univ., Harbin, China ; Laijun Sun ; Mingliang Liu ; Haibo Qian
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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.

Published in:

Digital Manufacturing and Automation (ICDMA), 2011 Second International Conference on

Date of Conference:

5-7 Aug. 2011