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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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Päätekijä: Wang, Jing (auth)
Muut tekijät: Zhou, Jinglin (auth), Chen, Xiaolu (auth)
Aineistotyyppi: Elektroninen Kirjan osa
Kieli:englanti
Julkaistu: Springer Nature 2022
Sarja:Intelligent Control and Learning Systems 3
Aiheet:
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
Linkit:OAPEN Library: download the publication
OAPEN Library: description of the publication
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