Multivariate detection of abnormal conditions in a process...

Details Multivariate detection of abnormal conditions in a process... Multivariate detection of abnormal conditions in a process...

2011-05-03

2011-05-03

Patel, Ramesh B (Department: 2121)

Data processing: generic control systems or specific application

Generic control system, apparatus or process

Optimization or adaptive control

C702S081000, C702S084000, C702S108000, C702S188000, C700S108000, C700S109000, C700S174000, C700S175000, C703S002000

Reexamination Certificate

active

07937164

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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