铁道科学与工程学报Issue(2)：269-274,6.
提速道岔小波包能量熵故障诊断方法
Method of speed-up turnout fault diagnosis using wavelet packet energy entropy
摘要
Abstract
The wavelet packet transformation was applied to the fault diagnosis of S700K type speed-up turnout switch machine.The three-phase AC current of S700K switch collected from microcomputer monitoring system was given as signal source.Based on wavelet packet multi-scale analysis,the three-phase alternating current of switch machine in working state and fault state was decomposed,and the fault feature from the wavelet energy entropy was extracted.Then according to the definition of the fault diagnosis index,two thresholds for each phase of the alternating current fault diagnosis index were set to categorize the fault type quantitatively.The experimen-tal results show that wavelet energy entropy distribution of three-phase current has certain rules,and the thresh-olds of fault diagnosis index can effectively partition switch fault types.Moreover,the sample test results are con-sistent with the actual field diagnostic results.关键词
转辙机/道岔/故障诊断/小波包分析/小波包能量熵Key words
switch machine/turnout/fault diagnosis/wavelet packet analysis/wavelet energy entropy分类
交通工程引用本文复制引用
安春兰,甘方成,罗微,秦发园..提速道岔小波包能量熵故障诊断方法[J].铁道科学与工程学报,2015,(2):269-274,6.基金项目
华东交通大学校立科研基金资助项目 （）
