Data-Driven Fault Detection and Reasoning for Industrial Monitoring

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
Acesso em linha:	OAPEN Library: download the publication OAPEN Library: description of the publication
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Data-Driven Fault Detection and Reasoning for Industrial Monitoring

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