The application of correlation dimension in gearbox condition monitoring
The application of correlation dimension in gearbox condition monitoring
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DOI：
10.1006/jsvi.1998.2161
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发表时间：
1999-06-17
影响因子：
4.7
通讯作者：
Qu, LS
中科院分区：
文献类型：
--
作者：
Jiang, JD;Chen, J;Qu, LS
本文对齿轮箱状态监测中的关联维进行了研究。与傅立叶谱分析等其他故障诊断方法相比，提出了一种新的故障诊断方法。时频分析等，关联维可以提供从测量的标量时间序列重建的潜在动力系统的一些内在信息。提出了一种利用关联维的三阶段分析方法。讨论了直接影响关联维计算精度的几个重要因素。利用该方法对不同工况下的工业齿轮箱振动信号进行了分析。结果表明，与正常工况相比，关联维能较好地识别齿轮箱疲劳裂纹或断齿的工作状态。(C)1999年学术出版社。
This paper reports a study of correlation dimension in gearbox condition monitoring. In contrast to other fault diagnosis methods, such as Fourier spectrum analysis? time-frequency analysis, etc., the correlation dimension can provide some intrinsic information of an underlying dynamic system reconstructed from measured scalar time series. A three-stage analysis procedure using correlation dimension is presented. Some important influencing factors relating directly to the computational precision of correlation dimension are discussed. Industrial gearbox vibration signals measured from different operating conditions are analyzed using the above method. Results show that the correlation dimension is able to identify clearly a gearbox-operating condition with fatigue crack or broken tooth compared with the normal condition. (C) 1999 Academic Press.