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公开(公告)号：CA2257881A1
公开(公告)日：1997-12-24
申请号：CA2257881
申请日：1997-06-13
Applicant: ARCH DEV CORP
Inventor： SINGER RALPH M , WEGERICH STEPHAN , GROSS KENNETH C , MOTT JACK
Abstract: A system (10) and method for monitoring an industrial process and/or industrial data source (10). The system (10) includes a time correlation module (20), a training module (30), a system state estimation module (40) and a pattern recognition module (50). The system (10) generating time varying data sources, processing the data to obtain time correlation of the data (20), determining the range of data, determining learned states of normal operation (30) and using these states to generate expected values to identify a current state of the process closest to a learned, normal state (40); generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm (50) upon detecting a deviation from normalcy.
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公开(公告)号：AU7395596A
公开(公告)日：1997-04-30
申请号：AU7395596
申请日：1996-10-08
Applicant: ARCH DEV CORP
Inventor： GROSS KENNETH C , SINGER RALPH M
IPC: G05B19/418 , G06F17/14
Abstract: A method and system for monitoring both an industrial process and a sensor. The method and system include determining a minimum number of sensor pairs needed to test the industrial process as well as the sensor for evaluating the state of operation of both. The technique further includes generating a first and second signal characteristic of an industrial process variable. After obtaining two signals associated with one physical variable, a difference function is obtained by determining the arithmetic difference between the pair of signals over time. A frequency domain transformation is made of the difference function to obtain Fourier modes describing a composite function. A residual function is obtained by subtracting the composite function from the difference function and the residual function (free of nonwhite noise) is analyzed by a statistical probability ratio test.
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