Work

An interpretable unsupervised Bayesian network model for fault detection and diagnosis

Year: 2022

Type: article

Source: Control Engineering Practice

DOI: 10.1016/j.conengprac.2022.105304

Authors: Wei-Ting Yang, Marco S. Reis, Valeria Borodin, Michel Juge, Agnès Roussy

Institutions: BI Norwegian Business School, University of Coimbra, Centre National de la Recherche Scientifique, Université Clermont Auvergne, Mines Saint-Étienne, Laboratoire d'Informatique, de Modélisation et d'Optimisation des Systèmes, Clermont Auvergne INP, STMicroelectronics (France)

Language: English

Topic: Fault Detection and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: Key Digital Technologies Joint Undertaking, Electronic Components and Systems for European Leadership, Horizon 2020 Framework Programme, Horizon 2020

Award: G8039714650

OpenAlex ID: W4292999423

FWCI: 4.425

Cites: 72

Cited by: 54

Related to: 10