Making use of partially observed states in Markov switching autoregressive models: application to machine health diagnosis

Autor: Dama, Fatoumata, Sinoquet, Christine

Publikováno v: Actes CNIA PFIA 2021
CNIA 2021 : Conférence Nationale en Intelligence Artificielle
CNIA 2021 : Conférence Nationale en Intelligence Artificielle, Jun 2021, Bordeaux (en ligne), France. pp 14-21

International audience; Machine health diagnosis is a fundamental task dedicated to monitor systems’ safety in order to prevent incidents, and to program maintenance operations. Such diagnosis is achieved through analyzing the system’s features (

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::7f6ffae568f991e05cfab937ff974c71
https://hal.archives-ouvertes.fr/hal-03321148