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Data-Driven Fault Detection and Reasoning for Industrial Monitoring

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This open access book assesses the potential of data-driven methods in industrial process monitoring engineering. The process modeling, fault detection, classification, isolation, and reasoning are studied in detail. These methods can be used to improve the safety and reliability of industrial proce...

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Detalles Bibliográficos
Autor Principal: Wang, Jing (auth)
Outros autores: Zhou, Jinglin (auth), Chen, Xiaolu (auth)
Formato: Electrónico Capítulo de libro
Idioma:inglés
Publicado: Springer Nature 2022
Series:Intelligent Control and Learning Systems 3
Subjects:
Robotics
Artificial intelligence
Multivariate causality analysis
Process monitoring
Manifold learning
Fault diagnosis
Data modeling
Fault classification
Fault reasoning
Causal network
Probabilistic graphical model
Data-driven methods
Industrial monitoring
Open Access
Acceso en liña:OAPEN Library: download the publication
OAPEN Library: description of the publication
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