Research on fault diagnosis on high voltage SF6 circuit breaker based on the db wavelet and fuzzy theory

摘要

This dissertation aims at providing a quick and accurate fault diagnosis method for on high voltage SF6 circuit breaker. This method indirectly monitors the functioning of the breaker by observing the electric current in the coil of its switch. The electrical signals of the coil current during normal functioning and various malfunctions are gathered through wavelet transform and Gauss smoothing to build a symptom-cause matrix. Finally, a fuzzy algorithm is established to identify the cause of the fault from symptoms, or various electrical signals. The results were obtained via Matlab simulation analysis. Experiments were made to prove the method's validity.