Automated generation of nonlinear system characterization for sensor failure detection

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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationInstrumentation in the Aerospace Industry, Proceedings of the ISAAerospace Instrumentation Symposium
PublisherPubl by ISA Services Inc
Pages269-274
Number of pages6
Volume35
StatePublished - 1989
Externally publishedYes
EventProceedings of the 35th International Instrumentation Symposium - Orlando, FL, USA
Duration: May 1 1989May 4 1989

Other

OtherProceedings of the 35th International Instrumentation Symposium
CityOrlando, FL, USA
Period5/1/895/4/89

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Upadhyaya, B. R., 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, pp. 269-274). Publ by ISA Services Inc.