Multiple manifolds analysis and its application to fault diagnosis

Min Li; Jinwu Xu; Jianhong Yang; Debin Yang; Dadong Wang

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Multiple manifolds analysis and its application to fault diagnosis

机译：多歧管分析及其在故障诊断中的应用

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摘要

A novel approach to fault diagnosis is proposed using multiple manifolds analysis (MMA) to extract manifold information from the vibration signals collected from a mechanical system. The basic idea of MMA is to reconstruct a manifold by embedding time series into a high-dimensional phase space. The tangent direction of the neighborhood for each point is then used to approximate its local geometry. The variation of the multiple manifolds representing different states of the mechanical system can be revealed by performing multi-way principal component analysis. The vibration signals acquired from roller bearings are employed to validate the proposed algorithms. Test results show that the proposed MMA-based approach can interpret different machine conditions and is effective to the fault diagnosis, and the MMA-based fault clustering and trend analysis algorithms have outperformed the conventional fault diagnosis methods.

机译：提出了一种使用多歧管分析（MMA）从机械系统收集的振动信号中提取歧管信息的故障诊断新方法。 MMA的基本思想是通过将时间序列嵌入到高维相空间中来重构流形。然后，将每个点的邻域的切线方向用于近似其局部几何形状。可以通过执行多路主成分分析来揭示代表机械系统不同状态的多个歧管的变化。从滚动轴承获取的振动信号用于验证所提出的算法。测试结果表明，所提出的基于MMA的方法可以解释不同的机器条件，并且对故障诊断是有效的，并且基于MMA的故障聚类和趋势分析算法优于传统的故障诊断方法。

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来源
《Mechanical systems and signal processing》 |2009年第8期|2500-2509|共10页
作者
Min Li; Jinwu Xu; Jianhong Yang; Debin Yang; Dadong Wang;
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作者单位

School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China;

School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China;

School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China;

School of Mechanical Engineering, University of Science and Technology Beijing, Beijing 100083, China;

CSIRO Mathematical and Information Sciences, Locked Bag 17, North Ryde, Sydney, NSW 1670, Australia;

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正文语种 eng
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关键词
multiple manifolds analysis; fault clustering; trend analysis; roller bearing; fault diagnosis;

机译：多重流形分析;故障聚类;趋势分析;滚子轴承;故障诊断;

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Multiple manifolds analysis and its application to fault diagnosis

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