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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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Detalhes bibliográficos
Autor principal: Wang, Jing (auth)
Outros Autores: Zhou, Jinglin (auth), Chen, Xiaolu (auth)
Formato: Recurso Electrónico Capítulo de Livro
Idioma:inglês
Publicado em: Springer Nature 2022
Colecção:Intelligent Control and Learning Systems 3
Assuntos:
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
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