Learning-based Model Matching for Fault Detection and Isolation of Nonlinear Systems

Farhad Ghanipoor; Carlos Murguia; Peyman Mohajerin Esfahani; Nathan van de Wouw

Learning-based Model Matching for Fault Detection and Isolation of Nonlinear Systems

Farhad Ghanipoor, Carlos Murguia, Peyman Mohajerin Esfahani, Nathan van de Wouw

Onderzoeksoutput: Bijdrage aan congres › Abstract › Academic

Samenvatting

This abstract presents a method for fault detection and isolation (FDI) in nonlinear uncertain systems. The proposed method has two stages: first, an offline training of a static map to capture the unstructured uncertainty; second, an online fault detection, isolation, and estimation scheme. A nonlinear mechanical benchmark system is used to illustrate the performance of the scheme.

Originele taal-2	Engels
Aantal pagina's	2
Status	Gepubliceerd - jul. 2022
Evenement	10th European Nonlinear Dynamics Conference, ENOC 2022 - Université de Lyon, Lyon, Frankrijk Duur: 17 jul. 2022 → 22 jul. 2022 Congresnummer: 10 https://enoc2020.sciencesconf.org/

Congres

Congres	10th European Nonlinear Dynamics Conference, ENOC 2022
Verkorte titel	ENOC 2022
Land/Regio	Frankrijk
Stad	Lyon
Periode	17/07/22 → 22/07/22
Internet adres	https://enoc2020.sciencesconf.org/

Andere bestanden en links

https://www.researchgate.net/publication/359215868

Citeer dit

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title = "Learning-based Model Matching for Fault Detection and Isolation of Nonlinear Systems",

abstract = "This abstract presents a method for fault detection and isolation (FDI) in nonlinear uncertain systems. The proposed method has two stages: first, an offline training of a static map to capture the unstructured uncertainty; second, an online fault detection, isolation, and estimation scheme. A nonlinear mechanical benchmark system is used to illustrate the performance of the scheme.",

author = "Farhad Ghanipoor and Carlos Murguia and {Mohajerin Esfahani}, Peyman and {van de Wouw}, Nathan",

year = "2022",

month = jul,

language = "English",

note = "10th European Nonlinear Dynamics Conference, ENOC 2022, ENOC 2022 ; Conference date: 17-07-2022 Through 22-07-2022",

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T1 - Learning-based Model Matching for Fault Detection and Isolation of Nonlinear Systems

AU - Ghanipoor, Farhad

AU - Murguia, Carlos

AU - Mohajerin Esfahani, Peyman

AU - van de Wouw, Nathan

N1 - Conference code: 10

PY - 2022/7

Y1 - 2022/7

N2 - This abstract presents a method for fault detection and isolation (FDI) in nonlinear uncertain systems. The proposed method has two stages: first, an offline training of a static map to capture the unstructured uncertainty; second, an online fault detection, isolation, and estimation scheme. A nonlinear mechanical benchmark system is used to illustrate the performance of the scheme.

AB - This abstract presents a method for fault detection and isolation (FDI) in nonlinear uncertain systems. The proposed method has two stages: first, an offline training of a static map to capture the unstructured uncertainty; second, an online fault detection, isolation, and estimation scheme. A nonlinear mechanical benchmark system is used to illustrate the performance of the scheme.

UR - https://www.researchgate.net/publication/359215868

M3 - Abstract

T2 - 10th European Nonlinear Dynamics Conference, ENOC 2022

Y2 - 17 July 2022 through 22 July 2022

ER -

Learning-based Model Matching for Fault Detection and Isolation of Nonlinear Systems

Samenvatting

Congres

Andere bestanden en links

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