最大鞘度熵反褶积的齿轮箱故障诊断  

Fault Diagnosis of Gearbox Based on Maximum Sheath Entropy Deconvolution

作　　者：白国庆[1] 武昭晖 郝宁 BAI Guo-qing;WU Zhao-hui;HAO Ning(Mechanical Engineering Department of Taiyuan University,Shanxi Taiyuan 030032,China;Mechanical and Electronic Engineering Department of Taiyuan University,Shanxi Taiyuan 030032,China;Shanxi Pingyang Industry Machinery Co.,Ltd.,Shanxi Houma 043000,China)

机构地区：[1]太原学院机械工程系,山西太原030032 [2]太原学院机械与电气工程系,山西太原030032 [3]山西平阳重工机械有限责任公司,山西侯马043000

出　　处：《机械设计与制造》2023年第5期257-263,共7页Machinery Design & Manufacture

基　　金：2018年山西省国家级大学生创新创业训练计划项目(2018687)。

摘　　要：考虑到最小熵反褶积(Minimum Entropy Deconvolution,MED)只对单一的异常振动信号很敏感,而且,滤波器的长度需要人工调控,提出了一种最大峭度熵反褶积(Maximum Kurtosis Entropy Deconvolution,MKSED)方法,并将其应用于轴承故障诊断。考虑峭度熵具有突出连续冲击振荡的优点,选择峭度熵作为反褶积的目标函数。同时,利用峭度熵作为改进的局部粒子群优化算法(Local Particle Swarm Optimization Algorithm,LPSO)的适应度函数,利用局部粒子群优化滤波器长度,使最大峭度熵反褶积在解卷积时自适应地调整滤波器长度,从而能够准确地提取出连续的脉冲信号。实验分析结果验证了该方法能够更叫有效的提取连续脉冲信号的能力,提升了故障诊断的精度。Considering that the minimum entropy deconvolution is only sensitive to a single abnormal vibration signal,and the length of the filter needs to be adjusted manually,a maximum kurtosis entropy deconvolution method was proposed and applied to bearing fault diagnosis.Considering that kurtosis entropy has the advantage of continuous shock oscillation,kurtosis entropy was chosen as the objective function of deconvolution.At the same time,kurtosis entropy was used as the fitness function of the improved local particle swarm optimization algorithm,and LPSO was used to optimize the filter length,so that MKSED can adaptively adjust the filter length when deconvolution,so as to accurately extract the continuous pulse signal.The experimental results show that the method can extract continuous pulse signal more effectively and improve the accuracy of fault diagnosis.

关 键 词：齿轮箱 粒子群优化算法 最大峭度熵反褶积 信号提取 故障诊断 

分 类 号：TH16[机械工程—机械制造及自动化] V263.6[航空宇航科学与技术—航空宇航制造工程]