Prognosis and Health Management using Energy Activity

Singh, Manarshhjot; Gehin, Anne-Lise; Ould Bouamama, Belkacem

Document type :

Autre communication scientifique (congrès sans actes - poster - séminaire...): Article dans une revue scientifique

DOI :

10.1016/j.ifacol.2020.12.2766

Title :

Prognosis and Health Management using Energy Activity

Author(s) :

Singh, Manarshhjot [Auteur]
École polytechnique universitaire de Lille [Polytech Lille]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
University of Lille
Gehin, Anne-Lise [Auteur]

Ould Bouamama, Belkacem [Auteur]

Conference title :

IFAC World Congress

City :

Berlin (virtual)

Country :

Allemagne

Start date of the conference :

2020-07-12

Publisher :

Elsevier

Publication date :

2021-04-14

HAL domain(s) :

Sciences de l'ingénieur [physics]/Autre

English abstract : [en]

Accurate detection of faults in a dynamic system is very beneficial as this information can be used in a wide variety of ways by the machine operators or designers. This advantage becomes many folds when regarding the ...
Show more >Accurate detection of faults in a dynamic system is very beneficial as this information can be used in a wide variety of ways by the machine operators or designers. This advantage becomes many folds when regarding the future condition i.e. time to failure, named remaining useful life, is available in addition to that of the present condition. Thus, prognosis is one of the most useful tools to improve the working of a machine as many critical decisions can be made. Prognosis can be critical for applications that risk loss of life and property. In this paper, a hybrid method, utilizing bond graph and artificial intelligence, is proposed for system health estimation (SHE) and prognosis. The Bond Graph model is used to calculate Energy Activity, which is used as a common metric for both SHE and prognosis. The proposed method is checked by simulation on a spring mass damper system undergoing a fault.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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https://doi.org/10.1016/j.ifacol.2020.12.2766
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https://doi.org/10.1016/j.ifacol.2020.12.2766
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