Fault detection and diagnosis based on parameter set estimation for measurements corrupted by bounded noise

Vasso Reppa, Antonios Tzes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The objective of this paper is the Fault Detection and Diagnosis (FDD) of multiple abrupt parameter variations in an inherently time-invariant system based on Parameter Set Estimation. Under the a priori knowledge of the bounds of the noise that corrupts the measurements, it is proven that the parameter uncertainty is also bounded. The goal of the PSE is to compute at every time instant the orthotope that represents the bounded parameter uncertainty and within which the nominal parameter vector resides. A fault detection criterion is activated at the time instant that the computed orthotope is an empty set, while a 'backward-in-time' procedure is proposed for a more accurate estimation of the time of fault occurrence. Finally, the fault diagnosis continues with the isolation of the faulty components and the determination of the size of parameter deviation. Simulations studies are used to verify the efficiency of the suggested strategy for the case of multiple faults in a micro-electrostatic actuator.

Original languageEnglish (US)
Title of host publication18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings
Pages460-465
Number of pages6
DOIs
StatePublished - Sep 29 2010
Event18th Mediterranean Conference on Control and Automation, MED'10 - Marrakech, Morocco
Duration: Jun 23 2010Jun 25 2010

Other

Other18th Mediterranean Conference on Control and Automation, MED'10
CountryMorocco
CityMarrakech
Period6/23/106/25/10

Fingerprint

Fault detection
Failure analysis
Electrostatic actuators
Uncertainty

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Reppa, V., & Tzes, A. (2010). Fault detection and diagnosis based on parameter set estimation for measurements corrupted by bounded noise. In 18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings (pp. 460-465). [5547711] https://doi.org/10.1109/MED.2010.5547711

Fault detection and diagnosis based on parameter set estimation for measurements corrupted by bounded noise. / Reppa, Vasso; Tzes, Antonios.

18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings. 2010. p. 460-465 5547711.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Reppa, V & Tzes, A 2010, Fault detection and diagnosis based on parameter set estimation for measurements corrupted by bounded noise. in 18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings., 5547711, pp. 460-465, 18th Mediterranean Conference on Control and Automation, MED'10, Marrakech, Morocco, 6/23/10. https://doi.org/10.1109/MED.2010.5547711
Reppa V, Tzes A. Fault detection and diagnosis based on parameter set estimation for measurements corrupted by bounded noise. In 18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings. 2010. p. 460-465. 5547711 https://doi.org/10.1109/MED.2010.5547711
Reppa, Vasso ; Tzes, Antonios. / Fault detection and diagnosis based on parameter set estimation for measurements corrupted by bounded noise. 18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings. 2010. pp. 460-465
@inproceedings{f6aaf584f67c4cb2975d933e87f48f70,
title = "Fault detection and diagnosis based on parameter set estimation for measurements corrupted by bounded noise",
abstract = "The objective of this paper is the Fault Detection and Diagnosis (FDD) of multiple abrupt parameter variations in an inherently time-invariant system based on Parameter Set Estimation. Under the a priori knowledge of the bounds of the noise that corrupts the measurements, it is proven that the parameter uncertainty is also bounded. The goal of the PSE is to compute at every time instant the orthotope that represents the bounded parameter uncertainty and within which the nominal parameter vector resides. A fault detection criterion is activated at the time instant that the computed orthotope is an empty set, while a 'backward-in-time' procedure is proposed for a more accurate estimation of the time of fault occurrence. Finally, the fault diagnosis continues with the isolation of the faulty components and the determination of the size of parameter deviation. Simulations studies are used to verify the efficiency of the suggested strategy for the case of multiple faults in a micro-electrostatic actuator.",
author = "Vasso Reppa and Antonios Tzes",
year = "2010",
month = "9",
day = "29",
doi = "10.1109/MED.2010.5547711",
language = "English (US)",
isbn = "9781424480920",
pages = "460--465",
booktitle = "18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings",

}

TY - GEN

T1 - Fault detection and diagnosis based on parameter set estimation for measurements corrupted by bounded noise

AU - Reppa, Vasso

AU - Tzes, Antonios

PY - 2010/9/29

Y1 - 2010/9/29

N2 - The objective of this paper is the Fault Detection and Diagnosis (FDD) of multiple abrupt parameter variations in an inherently time-invariant system based on Parameter Set Estimation. Under the a priori knowledge of the bounds of the noise that corrupts the measurements, it is proven that the parameter uncertainty is also bounded. The goal of the PSE is to compute at every time instant the orthotope that represents the bounded parameter uncertainty and within which the nominal parameter vector resides. A fault detection criterion is activated at the time instant that the computed orthotope is an empty set, while a 'backward-in-time' procedure is proposed for a more accurate estimation of the time of fault occurrence. Finally, the fault diagnosis continues with the isolation of the faulty components and the determination of the size of parameter deviation. Simulations studies are used to verify the efficiency of the suggested strategy for the case of multiple faults in a micro-electrostatic actuator.

AB - The objective of this paper is the Fault Detection and Diagnosis (FDD) of multiple abrupt parameter variations in an inherently time-invariant system based on Parameter Set Estimation. Under the a priori knowledge of the bounds of the noise that corrupts the measurements, it is proven that the parameter uncertainty is also bounded. The goal of the PSE is to compute at every time instant the orthotope that represents the bounded parameter uncertainty and within which the nominal parameter vector resides. A fault detection criterion is activated at the time instant that the computed orthotope is an empty set, while a 'backward-in-time' procedure is proposed for a more accurate estimation of the time of fault occurrence. Finally, the fault diagnosis continues with the isolation of the faulty components and the determination of the size of parameter deviation. Simulations studies are used to verify the efficiency of the suggested strategy for the case of multiple faults in a micro-electrostatic actuator.

UR - http://www.scopus.com/inward/record.url?scp=77957009385&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77957009385&partnerID=8YFLogxK

U2 - 10.1109/MED.2010.5547711

DO - 10.1109/MED.2010.5547711

M3 - Conference contribution

AN - SCOPUS:77957009385

SN - 9781424480920

SP - 460

EP - 465

BT - 18th Mediterranean Conference on Control and Automation, MED'10 - Conference Proceedings

ER -