Detection of Machine Failure by Using Information on Higher-Order Correlations Between Sound and Vibration
Detection of Machine Failure by Using Information on Higher-Order Correlations Between Sound and Vibration
复制标题
利用声音和振动之间的高阶相关性信息检测机器故障
DOI：
10.1002/ecj.11386
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发表时间：
2013
影响因子：
0.3
通讯作者：
H. Orimoto and H. Ogawa
中科院分区：
文献类型：
--
作者：
A. Ikuta;H. Orimoto and H. Ogawa
在这项研究中，提出了一种基于信息变化的机器故障随机检测方法，不仅基于线性相关性，而且基于高阶非线性相关性，其形式适合于在个人计算机上进行时域在线信号处理，特别是为了详细找到旋转机器发出的声音和振动之间的相互关系。更具体地，通过引入正交展开级数形式的多维概率分布的表达式，在理论上导出分层反映各种类型的相关信息的条件概率。所提出的理论的有效性的实验证实，通过将其应用到从由电动机驱动的旋转机器发出的观测数据。© 2013 Wiley Periodicals，Inc. Electron Comm Jpn，96（10）：50-59，2013;在线发表于Wiley Online Library（wileyonlinelibrary.com）。DOI 10.1002/ecj.11386
In this study, a method for stochastic detection of the failure of machines based on changes in information not only on linear correlations but also on higher‐order nonlinear correlations is proposed in a form suitable for on‐line signal processing in the time domain on a personal computer, especially in order to find in detail the mutual relationship between sound and vibration emitted from rotational machines. More specifically, a conditional probability hierarchically reflecting various types of correlation information is theoretically derived by introducing an expression for the multidimensional probability distribution in orthogonal expansion series form. The effectiveness of the proposed theory is experimentally confirmed by applying it to observed data emitted from a rotational machine driven by an electric motor. © 2013 Wiley Periodicals, Inc. Electron Comm Jpn, 96(10): 50–59, 2013; Published online in Wiley Online Library (wileyonlinelibrary.com). DOI 10.1002/ecj.11386