控制理论与应用2025，Vol.42Issue(7)：1313-1322,10.DOI:10.7641/CTA.2025.40244
多频带多尺度模糊熵融合的牵引整流器故障诊断
Traction rectifier fault diagnosis based on multi-band and multi-scale fuzzy entropy fusion
摘要
Abstract
Aiming at the traction rectifier with the highest failure rate in the traction transmission system of electric locomotive,a fault diagnosis method based on multi-band and multi-scale fuzzy entropy fusion algorithm is proposed.Firstly,based on the optimal wavelet basis function,wavelet packet decomposes fault signals under different working conditions and different operating modes,and a series of optimal frequency bands information are obtained.Secondly,the sequences of each frequency band are coarse-granulated and multi-scale fuzzy entropy is calculated.Finally,the energy value of multi-scale fuzzy entropy of each frequency band is solved,which is used as the fault feature vector.The results show that the multi-band fuzzy entropy feature based on the optimal wavelet basis function has a certain robustness to noise,and according to the proposed multi-scale fuzzy entropy fusion algorithm,the fault diagnosis rate can be further improved.Compared with other methods,the proposed method has higher diagnosis rate and stronger robustness.关键词
牵引整流器/能熵比/多尺度模糊熵/能量/多信息融合Key words
traction rectifier/energy entropy ratio/multi-scale fuzzy entropy/energy/multi-information fusion引用本文复制引用
毛向德,董海鹰,梁金平..多频带多尺度模糊熵融合的牵引整流器故障诊断[J].控制理论与应用,2025,42(7):1313-1322,10.基金项目
甘肃省青年科技基金项目(24JRRA266)资助.Supported by the Gansu Youth Science and Technology Foundation Project(24JRRA266). （24JRRA266）
