Monitoring and Diagnosis for Multi-Mode Processes with Varying Operating Parameters: A Covariate-Adjusted Mixture Bayesian Network Approach

Monitoring and Diagnosis for Multi-Mode Processes with Varying Operating Parameters: A Covariate-Adjusted Mixture Bayesian Network Approach

<p>Process monitoring and diagnosis are crucial in many industrial applications for the timely detection of anomalies and the identification of responsible process variables. Over the past decade, Bayesian network-based methods have attracted increasing interest due to their diagnostic capabil...

Descrizione completa

Salvato in:
Dettagli Bibliografici
Autore principale: Yujie Wei (1502143) (author)
Altri autori: Rui He (824726) (author), Haiyan Xu (148626) (author), Terrence Tan (22421070) (author), Ershun Pan (18814040) (author), Zhi-Sheng Ye (672477) (author)
Pubblicazione: 2025
Soggetti:
Biotechnology
Biological Sciences not elsewhere classified
Mathematical Sciences not elsewhere classified
Chemical Sciences not elsewhere classified
Information Systems not elsewhere classified
Bayesian network
Heterogeneous data
Maritime safety
Probabilistic graphical model
Statistical process control
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi