Automatic Short-Connection Fault Diagnosis Method of Secondary Current Circuit Based on Wavelet Packet Decomposition
The current automatic diagnosis nodes for short-circuit faults in secondary current circuits are mostly set as independent structures,resulting in slow fault diagnosis and recognition speed,leading to an increase in the coefficient ratio of wavelet packet decomposition.Therefore,an automatic diagnosis method for short-circuit faults in secondary current circuits based on wavelet packet decomposition is proposed.Using a multi-objective approach to collect abnormal data.Using overlapping auxiliary verification to achieve fault diagnosis and processing.The results show that the designed wavelet packet decomposition test group for automatic diagnosis of short-circuit faults in the secondary current circuit has a wavelet packet coefficient change ratio controlled below 1.5,indicating that the automatic diagnosis of short-circuit faults in the secondary current circuit is more efficient and has practical application value.
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