Statistical signatures used with multivariate analysis for steady-state detection in a process
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United States of America Patent
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Dec 14, 2010
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app pub date -
Sep 28, 2007
filing date -
Sep 29, 2006
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Abstract
Methods and systems to detect steady-state operations in a process of a process plant include collecting process data. The collected process data is generated from a plurality of process variables of the process. A multivariate statistical model of the operation of the process is generated using the process data. The multivariate statistical model may be generated from a principal component analysis. The model is executed to generate outputs corresponding to the most significant variations in the process. Statistical measures of the outputs are generated and used to determine whether a steady-state or unsteady-state is related to the process.
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