Multivariate detection of abnormal conditions in a process plant
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United States of America Patent
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May 3, 2011
Grant Date -
Apr 3, 2008
app pub date -
Sep 28, 2007
filing date -
Sep 29, 2006
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Abstract
Methods and systems to detect abnormal operations in a process of a process plant include collecting on-line process data. The collected on-line process data is generated from a plurality of dependent and independent process variables of the process, such as a coker heater. A plurality of multivariate statistical models of the operation of the process are generated using corresponding sets of the process data. Each model is a measure of the operation of the process when the process is on-line at different times, and at least one model is a measure of the operation of the process when the process is on-line and operating normally. The models are executed to generate outputs corresponding to loading value metrics of a corresponding dependent process variable, and the loading value metrics are utilized to detect abnormal operations of the process.
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