Bootstrap confidence interval on IOHMM parameters for system health diagnostic under multiple operating conditions - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

Bootstrap confidence interval on IOHMM parameters for system health diagnostic under multiple operating conditions

Résumé

The operating conditions have an important impact on system degradation. This paper uses the Input-Output Hidden Markov Model to represent the system degradation having multiple operating conditions. In this paper the bootstrap method is applied to estimate the model parameters and applied to diagnostic system health. Parameters of the model are computed with 95% confidence intervals. The uncertainty about multiple data sequences and degradation speed is handled in the proposed model. A numerical application is given to explain the methodologies used to estimate the model parameters and the system healthdiagnostic.
Fichier principal
Vignette du fichier
S2405896320335278.pdf (641.07 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-02943559 , version 1 (24-04-2023)

Licence

Paternité - Pas d'utilisation commerciale

Identifiants

  • HAL Id : hal-02943559 , version 1

Citer

Kamrul Islam Shahin, Christophe Simon, Philippe Weber. Bootstrap confidence interval on IOHMM parameters for system health diagnostic under multiple operating conditions. 21st IFAC World Congress, IFAC 2020, Jul 2020, Berlin, Germany. ⟨hal-02943559⟩
46 Consultations
11 Téléchargements

Partager

Gmail Facebook X LinkedIn More