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公开(公告)号：US07181374B1
公开(公告)日：2007-02-20
申请号：US10161096
申请日：2002-05-31
CPC分类号： G05B23/021 , G05B23/0248
摘要： A system and method for predicting the behavior of a complex physical system with a qualitative analysis by correctly handling algebraic loops in physical system models for diagnosis applications. This approach recognizes the presence of negative feedback effects in loop structures and analyses these effects by tracking the entry point into the algebraic loop to resolve conflicting predictions.
摘要翻译： 一种用于通过在诊断应用的物理系统模型中正确处理代数循环来定性分析来预测复杂物理系统的行为的系统和方法。 这种方法认识到环路结构中存在负反馈效应，并通过跟踪代数循环中的入口点来分析这些影响，以解决冲突的预测。
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公开(公告)号：US06539343B2
公开(公告)日：2003-03-25
申请号：US09497113
申请日：2000-02-03
申请人： Feng Zhao , Eric-J. Manders
发明人： Feng Zhao , Eric-J. Manders
IPC分类号： G06F1900
CPC分类号： G06F17/148 , G05B23/0254
摘要： The present invention discloses methods for condition-based monitoring of a system and its components using joint time-frequency analysis and signal demodulation. A first method allows construction of models of non-stationary signals having multiple time and frequency scales of interest. In particular, the method uses wavelet analysis to encode essential information in time-frequency transformations and provides a signal model for an operating fault or normal operation of a system of interest. A second method uses the signal models for condition-based monitoring to detect a change in a signal. In this method, the signal models are correlated with sensor signals to determine the operating condition of a system or system component. A third method for condition-based monitoring uses signal demodulation. In this method, a nominal response of a system component is subtracted from a detected signal to more reliably detect subtle changes in the signal due to component degradation.
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