Robust fault diagnosis by optimal input design for self-sensing systems

D. Khandelwal; S. Weiland; A. Khalate

doi:10.1016/j.ifacol.2017.08.213

Robust fault diagnosis by optimal input design for self-sensing systems

D. Khandelwal, S. Weiland, A. Khalate

Research output: Contribution to journal › Conference article › peer-review

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Abstract

This paper presents a methodology for model based robust fault diagnosis and a methodology for input design to obtain optimal diagnosis of faults. The proposed algorithm is suitable for real time implementation. Issues of robustness are addressed for the input design and fault diagnosis methodologies. The proposed technique allows robust fault diagnosis under suitable conditions on the system uncertainty. The designed input and fault diagnosis techniques are illustrated by numerical simulation.

Original language	English
Pages (from-to)	1031-1036
Number of pages	6
Journal	IFAC-PapersOnLine
Volume	50
Issue number	1
DOIs	https://doi.org/10.1016/j.ifacol.2017.08.213
Publication status	Published - 2017
Event	20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress) - Toulouse, France Duration: 9 Jul 2017 → 14 Jul 2017 Conference number: 20 https://www.ifac2017.org/

Keywords

Active Fault Diagnosis
FDI for linear systems
Structural analysis
residual evaluation methods

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10.1016/j.ifacol.2017.08.213

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abstract = "This paper presents a methodology for model based robust fault diagnosis and a methodology for input design to obtain optimal diagnosis of faults. The proposed algorithm is suitable for real time implementation. Issues of robustness are addressed for the input design and fault diagnosis methodologies. The proposed technique allows robust fault diagnosis under suitable conditions on the system uncertainty. The designed input and fault diagnosis techniques are illustrated by numerical simulation.",

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AU - Weiland, S.

AU - Khalate, A.

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N2 - This paper presents a methodology for model based robust fault diagnosis and a methodology for input design to obtain optimal diagnosis of faults. The proposed algorithm is suitable for real time implementation. Issues of robustness are addressed for the input design and fault diagnosis methodologies. The proposed technique allows robust fault diagnosis under suitable conditions on the system uncertainty. The designed input and fault diagnosis techniques are illustrated by numerical simulation.

AB - This paper presents a methodology for model based robust fault diagnosis and a methodology for input design to obtain optimal diagnosis of faults. The proposed algorithm is suitable for real time implementation. Issues of robustness are addressed for the input design and fault diagnosis methodologies. The proposed technique allows robust fault diagnosis under suitable conditions on the system uncertainty. The designed input and fault diagnosis techniques are illustrated by numerical simulation.

KW - Active Fault Diagnosis

KW - FDI for linear systems

KW - Structural analysis

KW - residual evaluation methods

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U2 - 10.1016/j.ifacol.2017.08.213

DO - 10.1016/j.ifacol.2017.08.213

M3 - Conference article

VL - 50

SP - 1031

EP - 1036

JO - IFAC-PapersOnLine

JF - IFAC-PapersOnLine

IS - 1

T2 - 20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress)

Y2 - 9 July 2017 through 14 July 2017

ER -

Robust fault diagnosis by optimal input design for self-sensing systems

Abstract

Keywords

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