Arc Fault Feature Extraction Method Based on Maximum Overlapping Discrete Wavelet Packet
Air arc faults are a type of electrical fault that occurs in aircraft and are difficult to be detected by thermal protection circuit breakers and solid-state power controllers that are commonly assembled in aircraft.Once the arc fault continues to occur, the high temperature released will quickly ignite the combustible material near the fault point, causing the aircraft to catch fire, some systems in the aircraft fail, and even cause a fire that causes the aircraft to crash out of control.Accurate detection of arc faults in avionics systems is particularly important.Based on the Hilbert spectrums time-frequency analysis capability, this paper focuses on the characteristics of both traditional wavelet packet transform and maximum overlap discrete wavelet packet transform.Due to better time-frequency resolution and time-frequency aggregation, the maximum overlap discrete wavelet packet transform is used as a method to extract the characteristics of the loop current signal.According to the feature extraction results, the feature quantity extracted by the method can accurately distinguish the normal operation, transient arc fault and steady arc fault in the line.
Aeronautical arc fault Hilbert spectrum Time-frequency aggregation Maximum overlap discrete wavelet packet transform Feature extraction
Ruihua Cui Yingnan Li
State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Hebei University of Technology, Tianjin,300130, China;Key Laboratory of Electromagnetic Field and Electrical Apparatus Reliability of Hebei Province, Hebei University of Technology, Tianjin, 300130, China
国际会议
江苏苏州
英文
334-340
2019-11-04（万方平台首次上网日期，不代表论文的发表时间）