A pattern-recognition-based, fault-tolerant monitoring and diagnostic technique

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Description

A properly designed monitoring and diagnostic system must be capable of detecting and distinguishing sensor and process malfunctions in the presence of signal noise, varying process states and multiple faults. The technique presented in this paper addresses these objectives through the implementation of a multivariate state estimation algorithm based upon pattern recognition methodology coupled with a statistically-based hypothesis test. Utilizing a residual signal vector generated from the difference between the estimated and measured current states of a process, disturbances are detected and identified with statistical hypothesis testing. Since the hypothesis testing utilizes the inherent noise on the signals to obtain ... continued below

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11 p.

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Singer, R.M.; Gross, K.C. & King, R.W. June 1, 1995.

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  • Argonne National Laboratory
    Publisher Info: Argonne National Lab., Idaho Falls, ID (United States)
    Place of Publication: Idaho Falls, Idaho

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Description

A properly designed monitoring and diagnostic system must be capable of detecting and distinguishing sensor and process malfunctions in the presence of signal noise, varying process states and multiple faults. The technique presented in this paper addresses these objectives through the implementation of a multivariate state estimation algorithm based upon pattern recognition methodology coupled with a statistically-based hypothesis test. Utilizing a residual signal vector generated from the difference between the estimated and measured current states of a process, disturbances are detected and identified with statistical hypothesis testing. Since the hypothesis testing utilizes the inherent noise on the signals to obtain a conclusion and the state estimation algorithm requires only a majority of the sensors to be functioning to ascertain the current state, this technique has proven to be quite robust and fault-tolerant. Several examples of its application are presented.

Physical Description

11 p.

Notes

OSTI as DE95013518

Source

  • 7. international symposium on nuclear reactor surveillance and diagnostics, Avignon (France), 19-23 Jun 1995

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  • Other: DE95013518
  • Report No.: ANL/RA/CP--84204
  • Report No.: CONF-9506121--2
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 79025
  • Archival Resource Key: ark:/67531/metadc718064

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Office of Scientific & Technical Information Technical Reports

Reports, articles and other documents harvested from the Office of Scientific and Technical Information.

Office of Scientific and Technical Information (OSTI) is the Department of Energy (DOE) office that collects, preserves, and disseminates DOE-sponsored research and development (R&D) results that are the outcomes of R&D projects or other funded activities at DOE labs and facilities nationwide and grantees at universities and other institutions.

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  • June 1, 1995

Added to The UNT Digital Library

  • Sept. 29, 2015, 5:31 a.m.

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  • Jan. 6, 2016, 5:02 p.m.

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Singer, R.M.; Gross, K.C. & King, R.W. A pattern-recognition-based, fault-tolerant monitoring and diagnostic technique, article, June 1, 1995; Idaho Falls, Idaho. (digital.library.unt.edu/ark:/67531/metadc718064/: accessed November 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.