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

Onderzoeksoutput: Bijdrage aan tijdschrift › Congresartikel › peer review

5 Citaten (Scopus)

2 Downloads (Pure)

Samenvatting

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.

Originele taal-2	Engels
Pagina's (van-tot)	1031-1036
Aantal pagina's	6
Tijdschrift	IFAC-PapersOnLine
Volume	50
Nummer van het tijdschrift	1
DOI's	https://doi.org/10.1016/j.ifacol.2017.08.213
Status	Gepubliceerd - 2017
Evenement	20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress) - Toulouse, Frankrijk Duur: 9 jul. 2017 → 14 jul. 2017 Congresnummer: 20 https://www.ifac2017.org/

Toegang tot document

10.1016/j.ifacol.2017.08.213

Andere bestanden en links

Link to publication in Scopus

Citeer dit

@article{5e41431568744e7f9c2d85730b274c30,

title = "Robust fault diagnosis by optimal input design for self-sensing systems",

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.",

keywords = "Active Fault Diagnosis, FDI for linear systems, Structural analysis, residual evaluation methods",

author = "D. Khandelwal and S. Weiland and A. Khalate",

year = "2017",

doi = "10.1016/j.ifacol.2017.08.213",

language = "English",

volume = "50",

pages = "1031--1036",

journal = "IFAC-PapersOnLine",

publisher = "Elsevier",

number = "1",

note = "20th World Congress of the International Federation of Automatic Control (IFAC 2017 World Congress), IFAC 2017 ; Conference date: 09-07-2017 Through 14-07-2017",

url = "https://www.ifac2017.org/",

}

TY - JOUR

T1 - Robust fault diagnosis by optimal input design for self-sensing systems

AU - Khandelwal, D.

AU - Weiland, S.

AU - Khalate, A.

N1 - Conference code: 20

PY - 2017

Y1 - 2017

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

UR - http://www.scopus.com/inward/record.url?scp=85031793820&partnerID=8YFLogxK

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

Samenvatting

Toegang tot document

Andere bestanden en links

Vingerafdruk

Citeer dit