Mechanical Faults Diagnosis of High-Voltage Circuit Breaker via Hybrid Features and Integrated Extreme Learning Machine

As key electrical equipment in the power system, the normal operation of a high-voltage circuit breaker is related to the reliability and economy of the power supply. In this paper, a mechanical fault diagnostic method for a high-voltage circuit breaker via the hybrid feature extraction and the inte...

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Veröffentlicht in:	IEEE access 2019, Vol.7, p.60091-60103
Hauptverfasser:	Gao, Wei, Wai, Rong-Jong, Qiao, Su-Peng, Guo, Mou-Fa
Format:	Artikel
Sprache:	eng
Schlagworte:	Aliasing Artificial neural networks Bandpass filters Circuit breakers Circuit faults Circuit reliability complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) Diagnostic systems Distribution functions Electric equipment Electric power supplies Electric power systems Entropy Fault diagnosis Feature extraction Frequencies High voltages High-voltage circuit breaker Hilbert transformation integrated extreme learning machine (IELM) Machine learning Mathematical analysis Matrix algebra Matrix methods Normalizing singular entropy Support vector machines Time-frequency analysis time-frequency entropy vibration signal Vibrations
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