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首页> 外文会议>International Conference on Condition Monitoring Machinery Failure Prevention Technologies >COMPLEX-VALUED SIGNAL PROCESSING FOR CONDITION MONITORING
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COMPLEX-VALUED SIGNAL PROCESSING FOR CONDITION MONITORING

机译：条件监控复位信号处理

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This paper concerns the analysis of stationary complex-valued signals, and its application to the condition monitoring field. More particularly, it is confirmed that usual tools such as correlation function or power spectrum are insufficient to entirely describe the statistical and geometrical properties of complex-valued signals. In that case, additional time and spectral domain quantities, namely the pseudo correlation function and the pseudo spectrum, have to be used. They lead to new important information, and allow to entirely describe second-order properties of complex-valued signals. Once these quantities theoretically defined, this paper describes their use in several condition monitoring problems, where 2 dimensional signals are considered as complex-valued signals. The results obtained in these examples show that these quantities contain crucial information for condition monitoring not given by usual quantities such as the power spectrum, especially in terms of fault localization.
机译：本文涉及静止复合信号的分析及其在状态监测领域的应用。更具体地，证实了诸如相关函数或功率谱的通常工具不足以完全描述复值信号的统计和几何特性。在这种情况下，必须使用额外的时间和光谱域量，即伪相关函数和伪频谱。它们导致新的重要信息，并允许完全描述复值信号的二阶属性。一旦这些数量理解所定义，本文介绍了它们在若干条件监测问题中的用途，其中二维信号被认为是复值的信号。在这些实施例中获得的结果表明，这些数量包含由于通常在故障定位方面的常用量而非诸如功率谱的情况监测的重要信息。

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