Online adaptive model based fault detection, isolation and estimation method

Aniket Gupta; Karolos Grigoriadis; Matthew Franchek; Daniel J. Smith

doi:10.1115/DSCC2011-6080

Online adaptive model based fault detection, isolation and estimation method

Aniket Gupta, Karolos Grigoriadis, Matthew Franchek, Daniel J. Smith

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

Abstract

In the present study a methodology to perform fault detection, isolation and estimation is proposed that is based on adaptive model based techniques. Fault detection and diagnostics is performed by comparing the coefficients of healthy system model with that of adapted online coefficients. This approach is shown to be robust to modeling errors, sensor noise and process variability. The proposed approach is applied to FTP-75 cycle simulation data of exhaust gas recircultaion (EGR) faults and is shown to effectively perform fault detection and diagnosis.

Original language	English (US)
Title of host publication	ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011
Pages	929-936
Number of pages	8
Volume	1
DOIs	https://doi.org/10.1115/DSCC2011-6080
State	Published - Dec 1 2011
Event	ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011 - Arlington, VA, United States Duration: Oct 31 2011 → Nov 2 2011

Other

Other	ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011
Country	United States
City	Arlington, VA
Period	10/31/11 → 11/2/11

ASJC Scopus subject areas

Fluid Flow and Transfer Processes
Control and Systems Engineering

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10.1115/DSCC2011-6080

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Online adaptive model based fault detection, isolation and estimation method. / Gupta, Aniket; Grigoriadis, Karolos; Franchek, Matthew; Smith, Daniel J.

ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011. Vol. 1 2011. p. 929-936.

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

Gupta, A, Grigoriadis, K, Franchek, M & Smith, DJ 2011, Online adaptive model based fault detection, isolation and estimation method. in ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011. vol. 1, pp. 929-936, ASME 2011 Dynamic Systems and Control Conference and Bath/ASME Symposium on Fluid Power and Motion Control, DSCC 2011, Arlington, VA, United States, 10/31/11. https://doi.org/10.1115/DSCC2011-6080

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N2 - In the present study a methodology to perform fault detection, isolation and estimation is proposed that is based on adaptive model based techniques. Fault detection and diagnostics is performed by comparing the coefficients of healthy system model with that of adapted online coefficients. This approach is shown to be robust to modeling errors, sensor noise and process variability. The proposed approach is applied to FTP-75 cycle simulation data of exhaust gas recircultaion (EGR) faults and is shown to effectively perform fault detection and diagnosis.

AB - In the present study a methodology to perform fault detection, isolation and estimation is proposed that is based on adaptive model based techniques. Fault detection and diagnostics is performed by comparing the coefficients of healthy system model with that of adapted online coefficients. This approach is shown to be robust to modeling errors, sensor noise and process variability. The proposed approach is applied to FTP-75 cycle simulation data of exhaust gas recircultaion (EGR) faults and is shown to effectively perform fault detection and diagnosis.

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M3 - Conference contribution

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Y2 - 31 October 2011 through 2 November 2011

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Online adaptive model based fault detection, isolation and estimation method

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