Data-driven and model-based methods for fault detection and diagnosis /

Data-Driven and Model-Based Methods for Fault Detection and Diagnosis covers techniques that improve the quality of fault detection and enhance monitoring through chemical and environmental processes. The book provides both the theoretical framework and technical solutions. It starts with a review o...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Mansouri, Majdi (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam, Netherlands ; Cambridge, MA : Elsevier, [2020]
Temas:
Chemical process control.
Fault location (Engineering)
System analysis.
Systems Analysis
Proc�ed�es chimiques > Contr�ole.
D�etection de d�efaut (Ing�enierie)
Analyse de syst�emes.
systems analysis.
Chemical process control
System analysis
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 1. Introduction; 2. Linear latent variable approaches for fault detection; 3. Nonlinear latent variable approaches for fault detection; 4. Multiscale latent variable (MSLV) approaches for fault detection; 5. Interval latent variable (ILV) approaches for fault detection; 6. Model based approaches for fault detection; 7. Conclusions and Perspectives

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