Automated generation of nonlinear system characterization for sensor failure detection

B. R. Upadhyaya; Keith Holbert; E. Eryurek

Automated generation of nonlinear system characterization for sensor failure detection

B. R. Upadhyaya, Keith Holbert, E. Eryurek

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

Independent estimation of critical signals is required for use in consistency checking of instrument outputs and for isolating common-mode failures. When measurement redundancy is not available, this method can be used for monitoring sensor degradation or sensor drift by on-line prediction of the sensor output. A methodology is developed to characterize a given critical signal as a function of other related variables in a process by a nonlinear minimum-term model. This steady-state characterization is fully automated and implemented in a VAX workstation and is applied for sensor failure monitoring in a power plant.

Original language	English (US)
Title of host publication	Instrumentation in the Aerospace Industry, Proceedings of the ISAAerospace Instrumentation Symposium
Publisher	Publ by ISA Services Inc
Pages	269-274
Number of pages	6
Volume	35
State	Published - 1989
Externally published	Yes
Event	Proceedings of the 35th International Instrumentation Symposium - Orlando, FL, USA Duration: May 1 1989 → May 4 1989

Other

Other	Proceedings of the 35th International Instrumentation Symposium
City	Orlando, FL, USA
Period	5/1/89 → 5/4/89

ASJC Scopus subject areas

Engineering(all)

Cite this

Automated generation of nonlinear system characterization for sensor failure detection. / Upadhyaya, B. R.; Holbert, Keith; Eryurek, E.
Instrumentation in the Aerospace Industry, Proceedings of the ISAAerospace Instrumentation Symposium. Vol. 35 Publ by ISA Services Inc, 1989. p. 269-274.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Upadhyaya, BR, Holbert, K & Eryurek, E 1989, Automated generation of nonlinear system characterization for sensor failure detection. in Instrumentation in the Aerospace Industry, Proceedings of the ISAAerospace Instrumentation Symposium. vol. 35, Publ by ISA Services Inc, pp. 269-274, Proceedings of the 35th International Instrumentation Symposium, Orlando, FL, USA, 5/1/89.

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AB - Independent estimation of critical signals is required for use in consistency checking of instrument outputs and for isolating common-mode failures. When measurement redundancy is not available, this method can be used for monitoring sensor degradation or sensor drift by on-line prediction of the sensor output. A methodology is developed to characterize a given critical signal as a function of other related variables in a process by a nonlinear minimum-term model. This steady-state characterization is fully automated and implemented in a VAX workstation and is applied for sensor failure monitoring in a power plant.

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AN - SCOPUS:0024877608

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BT - Instrumentation in the Aerospace Industry, Proceedings of the ISAAerospace Instrumentation Symposium

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T2 - Proceedings of the 35th International Instrumentation Symposium

Y2 - 1 May 1989 through 4 May 1989

ER -

Automated generation of nonlinear system characterization for sensor failure detection

Abstract

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ASJC Scopus subject areas

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