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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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Opis bibliograficzny
1. autor:	Wang, Jing (auth)
Kolejni autorzy:	Zhou, Jinglin (auth), Chen, Xiaolu (auth)
Format:	Elektroniczne Rozdział
Język:	angielski
Wydane:	Springer Nature 2022
Seria:	Intelligent Control and Learning Systems
Hasła przedmiotowe:	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
Dostęp online:	DOAB: download the publication DOAB: description of the publication
Etykiety:	Dodaj etykietę Nie ma etykietki, Dołącz pierwszą etykiete!

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