WO2008042739A3 - On-line monitoring and diagnostics of a process using multivariate statistical analysis - Google Patents

On-line monitoring and diagnostics of a process using multivariate statistical analysis Download PDF

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Publication number
WO2008042739A3
WO2008042739A3 PCT/US2007/079819 US2007079819W WO2008042739A3 WO 2008042739 A3 WO2008042739 A3 WO 2008042739A3 US 2007079819 W US2007079819 W US 2007079819W WO 2008042739 A3 WO2008042739 A3 WO 2008042739A3
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WO
WIPO (PCT)
Prior art keywords
line
data
multivariate
univariate
variables
Prior art date
Application number
PCT/US2007/079819
Other languages
French (fr)
Other versions
WO2008042739A2 (en
Inventor
Nikola Samardzija
John Philip Miller
Original Assignee
Fisher Rosemount Systems Inc
Nikola Samardzija
John Philip Miller
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
Priority claimed from US11/688,737 external-priority patent/US7853431B2/en
Application filed by Fisher Rosemount Systems Inc, Nikola Samardzija, John Philip Miller filed Critical Fisher Rosemount Systems Inc
Priority to JP2009530620A priority Critical patent/JP2010506253A/en
Priority to EP07843431A priority patent/EP2062106A2/en
Publication of WO2008042739A2 publication Critical patent/WO2008042739A2/en
Publication of WO2008042739A3 publication Critical patent/WO2008042739A3/en

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Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0218Electric 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
    • G05B23/0243Electric 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
    • G05B23/0254Electric 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 quantitative model, e.g. mathematical relationships between inputs and outputs; functions: observer, Kalman filter, residual calculation, Neural Networks
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B23/00Testing or monitoring of control systems or parts thereof
    • G05B23/02Electric testing or monitoring
    • G05B23/0205Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
    • G05B23/0259Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the response to fault detection
    • G05B23/0267Fault communication, e.g. human machine interface [HMI]

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  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • Human Computer Interaction (AREA)
  • Testing And Monitoring For Control Systems (AREA)

Abstract

A system and method of monitoring and diagnosing on-line multivariate process variable data in a process plant, where the multivariate process data comprises a plurality of process variables each having a plurality of observations, includes collecting on-line process data from a process control system within the process plant when the process is on-line, where the collected on-line process data comprises a plurality of observations of a plurality of process variables and where the plurality of observations of the set of collected process data comprises a first data space having a plurality of dimensions, performing a multivariate statistical analysis to represent the operation of the process based on a set of collected on-line process data comprising a measure of the operation of the process when the process is on-line within a second data space having fewer dimensions than the first data space, perfoπning a univariate analysis to represent the operation of the process as a multivariate projection of the on-line process data by a univariate variable for each of the process variables, where the univariate variable unifies the process variables, and generating a visualization comprising a first plot of a result generated by the multivariate statistical representation of the operation of the process and a second plot of a result generated by the univariate representation of the operation of the process.
PCT/US2007/079819 2006-09-29 2007-09-28 On-line monitoring and diagnostics of a process using multivariate statistical analysis WO2008042739A2 (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
JP2009530620A JP2010506253A (en) 2006-09-29 2007-09-28 Process monitoring and diagnosis using multivariate statistical analysis
EP07843431A EP2062106A2 (en) 2006-09-29 2007-09-28 On-line monitoring and diagnostics of a process using multivariate statistical analysis

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
US82763106P 2006-09-29 2006-09-29
US60/827,631 2006-09-29
US11/688,737 US7853431B2 (en) 2006-09-29 2007-03-20 On-line monitoring and diagnostics of a process using multivariate statistical analysis
US11/688,737 2007-03-20

Publications (2)

Publication Number Publication Date
WO2008042739A2 WO2008042739A2 (en) 2008-04-10
WO2008042739A3 true WO2008042739A3 (en) 2008-05-29

Family

ID=39149121

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/US2007/079819 WO2008042739A2 (en) 2006-09-29 2007-09-28 On-line monitoring and diagnostics of a process using multivariate statistical analysis

Country Status (1)

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WO (1) WO2008042739A2 (en)

Families Citing this family (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102020130618A1 (en) * 2020-11-19 2022-05-19 Endress+Hauser Group Services Ag Process for monitoring measured variables measured on a process engineering plant with measuring devices
CN113156908B (en) * 2021-05-25 2022-05-13 中南大学 Multi-working-condition industrial process monitoring method and system with mechanism and data combined fusion
DE102022109781A1 (en) 2022-04-22 2023-10-26 Endress+Hauser SE+Co. KG Method for determining at least one status indicator of at least one component of a process measurement system
CN116579654A (en) * 2023-05-15 2023-08-11 苏州宝联重工股份有限公司 Online intelligent quality monitoring method and system for IF steel
CN116595454A (en) * 2023-05-18 2023-08-15 兰州理工大学 Intermittent process fault detection method based on neighborhood embedded nerve orthogonal mapping algorithm
CN117371821A (en) * 2023-11-28 2024-01-09 广州市中大信息技术有限公司 BIM technology-based enterprise data visual display method and system

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000005013A1 (en) * 1998-07-21 2000-02-03 Dofasco Inc. Multivariate statistical model-based system for monitoring the operation of a continuous caster and detecting the onset of impending breakouts
US7062417B2 (en) * 2000-03-23 2006-06-13 Perceptive Engineering Limited Multivariate statistical process monitors

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2000005013A1 (en) * 1998-07-21 2000-02-03 Dofasco Inc. Multivariate statistical model-based system for monitoring the operation of a continuous caster and detecting the onset of impending breakouts
US7062417B2 (en) * 2000-03-23 2006-06-13 Perceptive Engineering Limited Multivariate statistical process monitors

Also Published As

Publication number Publication date
WO2008042739A2 (en) 2008-04-10

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