Gear Fault Diagnosis in Variable Speed Condition Based on Multiscale Chirplet Path Pursuit and Linear Canonical Transform
Gear Fault Diagnosis in Variable Speed Condition Based on Multiscale Chirplet Path Pursuit and Linear Canonical Transform
复制标题
基于多尺度Chirplet路径追踪和线性正则变换的变速齿轮故障诊断
DOI：
10.1155/2018/3904598
复制
发表时间：
2018-03
期刊：
影响因子：
2.3
通讯作者：
Li Feng
中科院分区：
文献类型：
--
作者：
Xu Shuiqing;Ke Zhang;Yi Chai;He Yigang;Li Feng
振动信号分析是诊断齿轮故障的一种有效、可靠的方法。由于齿轮在变速工况下采集的振动信号往往包含了更多有用的故障信息，因此对变速工况下齿轮振动信号的分析一直是研究的热点。本文首次将多尺度线调频小波路径追踪（MSCPP）和线性正则变换（LCT）相结合的方法应用于变速工况下的齿轮故障诊断。首先，利用MSCPP方法估计瞬时啮合频率，选择合适的信号段逼近加减速过程。然后，由于LCT是一种新型的和有效的非平稳信号分析工具，LCT的性质的基础上，选定的信号的最佳LCT谱已获得齿轮故障诊断。仿真和实验结果验证了该方法的有效性。
The vibration signals analysis is a very effective and reliable method for detecting the gear failures. Because the vibration signals acquired from the gear in the variable speed condition often contain more useful fault information, the analysis of the gear vibration signals during the variable speed condition has been a hot research topic. In this paper, a method based on the multiscale chirplet path pursuit (MSCPP) and the linear canonical transform (LCT) has been applied to diagnose the gear fault in the variable speed condition for the first time. First, by using the MSCPP method to estimate the instantaneous meshing frequency, the suitable signal segment approximation to the acceleration or deceleration process can be selected. Then, because the LCT is a novel and efficient nonstationary signals analysis tool, the optimal LCT spectrum of the selected signal has been attainted to diagnose the gear faults based on the properties of the LCT. In addition, the simulations and the experimental evaluation are provided to verify the effectiveness of the proposed method.
登录
查看更多内容
影响因子：
5.6
作者：
Jianmin Mei;Jia Jide;Ruili Zeng;Bin Zhou;Huimin Zhao
通讯作者：
Jianmin Mei;Jia Jide;Ruili Zeng;Bin Zhou;Huimin Zhao
影响因子：
8.4
作者：
Liang, Ming;Bozchalooi, I. Soltani
通讯作者：
Bozchalooi, I. Soltani
影响因子：
5.6
作者：
Vikas Sharma;Anand Parey
通讯作者：
Vikas Sharma;Anand Parey
影响因子：
1.3
作者：
MOSHINSKY, M;QUESNE, C
通讯作者：
QUESNE, C
DOI：
10.1016/j.jfranklin.2012.09.014
发表时间：
2012-12
期刊：
Journal of the Frankin Institute
影响因子：
--
作者：
Xu Xiao-Na;Li Bing-Zhao;Ma Xiu-Ling
通讯作者：
Ma Xiu-Ling