Optimal input design for fault detection and diagnosis

Payman Sadegh; Henrik Madsen; J. Holst

Optimal input design for fault detection and diagnosis

Payman Sadegh
, Henrik Madsen
, J. Holst

Lund University

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

In the paper, the design of optimal input signals for detection and diagnosis in a stochastic dynamical system is investigated. The design is based on maximization of Kullback measure between the model under fault and the model under normal operation conditions. It is established that the optimal input design for change detection when the magnitude of change is small is equivalent to optimal input design for parameter estimation

Original language	English
Title of host publication	Proceedings of the American Control Conference
Volume	Volume 2
Publisher	IEEE
Publication date	1995
Pages	1147-1148
ISBN (Print)	07-80-32445-5
Publication status	Published - 1995
Event	1995 American Control Conference - Seattle, WA, United States Duration: 21 Jun 1995 → 23 Jun 1995 http://www-control.eng.cam.ac.uk/extras/conferences/ACC95.html

Conference

Conference	1995 American Control Conference
Country/Territory	United States
City	Seattle, WA
Period	21/06/1995 → 23/06/1995
Internet address	http://www-control.eng.cam.ac.uk/extras/conferences/ACC95.html

Bibliographical note

Copyright: 1995 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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title = "Optimal input design for fault detection and diagnosis",

abstract = "In the paper, the design of optimal input signals for detection and diagnosis in a stochastic dynamical system is investigated. The design is based on maximization of Kullback measure between the model under fault and the model under normal operation conditions. It is established that the optimal input design for change detection when the magnitude of change is small is equivalent to optimal input design for parameter estimation",

author = "Payman Sadegh and Henrik Madsen and J. Holst",

note = "Copyright: 1995 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; 1995 American Control Conference ; Conference date: 21-06-1995 Through 23-06-1995",

year = "1995",

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volume = "Volume 2",

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AU - Sadegh, Payman

AU - Madsen, Henrik

AU - Holst, J.

N1 - Copyright: 1995 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

PY - 1995

Y1 - 1995

N2 - In the paper, the design of optimal input signals for detection and diagnosis in a stochastic dynamical system is investigated. The design is based on maximization of Kullback measure between the model under fault and the model under normal operation conditions. It is established that the optimal input design for change detection when the magnitude of change is small is equivalent to optimal input design for parameter estimation

AB - In the paper, the design of optimal input signals for detection and diagnosis in a stochastic dynamical system is investigated. The design is based on maximization of Kullback measure between the model under fault and the model under normal operation conditions. It is established that the optimal input design for change detection when the magnitude of change is small is equivalent to optimal input design for parameter estimation

M3 - Article in proceedings

SN - 07-80-32445-5

VL - Volume 2

SP - 1147

EP - 1148

BT - Proceedings of the American Control Conference

PB - IEEE

T2 - 1995 American Control Conference

Y2 - 21 June 1995 through 23 June 1995

ER -

Optimal input design for fault detection and diagnosis

Abstract

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