WO2008042807A3 - Statistical signatures used with multivariate analysis for steady-state deteection in a process - Google Patents

Statistical signatures used with multivariate analysis for steady-state deteection in a process Download PDF

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Publication number
WO2008042807A3
WO2008042807A3 PCT/US2007/079986 US2007079986W WO2008042807A3 WO 2008042807 A3 WO2008042807 A3 WO 2008042807A3 US 2007079986 W US2007079986 W US 2007079986W WO 2008042807 A3 WO2008042807 A3 WO 2008042807A3
Authority
WO
WIPO (PCT)
Prior art keywords
state
steady
generated
deteection
multivariate analysis
Prior art date
Application number
PCT/US2007/079986
Other languages
French (fr)
Other versions
WO2008042807A2 (en
Inventor
John Philip Miller
Marcus Richard Lundeberg
Original Assignee
Fisher Rosemount Systems Inc
John Philip Miller
Marcus Richard Lundeberg
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Fisher Rosemount Systems Inc, John Philip Miller, Marcus Richard Lundeberg filed Critical Fisher Rosemount Systems Inc
Priority to EP07843550A priority Critical patent/EP2067087A2/en
Priority to JP2009530656A priority patent/JP2010506267A/en
Publication of WO2008042807A2 publication Critical patent/WO2008042807A2/en
Publication of WO2008042807A3 publication Critical patent/WO2008042807A3/en

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Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0243—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model
    • G05B23/0245—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults model based detection method, e.g. first-principles knowledge model based on a qualitative model, e.g. rule based; if-then decisions
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
    • G05B23/021—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system adopting a different treatment of each operating region or a different mode of the monitored system, e.g. transient modes; different operating configurations of monitored system
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00—Testing or monitoring of control systems or parts thereof
    • G05B23/02—Electric testing or monitoring
    • G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
    • G05B23/0224—Process history based detection method, e.g. whereby history implies the availability of large amounts of data
    • G05B23/024—Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10—TECHNICAL SUBJECTS COVERED BY FORMER USPC
    • Y10S—TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y10S715/00—Data processing: presentation processing of document, operator interface processing, and screen saver display processing
    • Y10S715/961—Operator interface with visual structure or function dictated by intended use
    • Y10S715/965—Operator interface with visual structure or function dictated by intended use for process control and configuration

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.
PCT/US2007/079986 2006-09-29 2007-09-28 Statistical signatures used with multivariate analysis for steady-state deteection in a process WO2008042807A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP07843550A EP2067087A2 (en) 2006-09-29 2007-09-28 Statistical signatures used with multivariate analysis for steady-state deteection in a process
JP2009530656A JP2010506267A (en) 2006-09-29 2007-09-28 Statistical properties used with multivariate analysis for steady-state detection in processes

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US82763106P 2006-09-29 2006-09-29
US60/827,631 2006-09-29

Publications (2)

Publication Number Publication Date
WO2008042807A2 WO2008042807A2 (en) 2008-04-10
WO2008042807A3 true WO2008042807A3 (en) 2008-05-29

Family

ID=39111865

Family Applications (3)

Application Number Title Priority Date Filing Date
PCT/US2007/079988 WO2008042809A2 (en) 2006-09-29 2007-09-28 Multivariate detection of abnormal conditions in a process plant
PCT/US2007/079919 WO2008042786A2 (en) 2006-09-29 2007-09-28 Multivariate detection of transient regions in a process control system
PCT/US2007/079986 WO2008042807A2 (en) 2006-09-29 2007-09-28 Statistical signatures used with multivariate analysis for steady-state deteection in a process

Family Applications Before (2)

Application Number Title Priority Date Filing Date
PCT/US2007/079988 WO2008042809A2 (en) 2006-09-29 2007-09-28 Multivariate detection of abnormal conditions in a process plant
PCT/US2007/079919 WO2008042786A2 (en) 2006-09-29 2007-09-28 Multivariate detection of transient regions in a process control system

Country Status (5)

Country Link
US (7) US7853431B2 (en)
EP (7) EP2064604A2 (en)
JP (7) JP2010506261A (en)
CN (7) CN101542409A (en)
WO (3) WO2008042809A2 (en)

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