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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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Bibliografische gegevens
Hoofdauteur: Wang, Jing (auth)
Andere auteurs: Zhou, Jinglin (auth), Chen, Xiaolu (auth)
Formaat: Elektronisch Hoofdstuk
Taal:Engels
Gepubliceerd in: Springer Nature 2022
Reeks:Intelligent Control and Learning Systems
Onderwerpen:
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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