Téléchargez le livre : Data-Driven Fault Detection and Reasoning for Industrial Monitoring

Data-Driven Fault Detection and Reasoning for Industrial Monitoring

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Éditeur :

Springer


Collection :

Intelligent Control and Learning Systems

Paru le : 2022-01-03

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Description



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 processes. Fault diagnosis, including fault detection and reasoning, has attracted engineers and scientists from various fields such as control, machinery, mathematics, and automation engineering. Combining the diagnosis algorithms and application cases, this book establishes a basic framework for this topic and implements various statistical analysis methods for process monitoring. This book is intended for senior undergraduate and graduate students who are interested in fault diagnosis technology, researchers investigating automation and industrial security, professional practitioners and engineers working on engineering modeling and data processing applications. 


This is an open access book.
Pages
264 pages
Collection
Intelligent Control and Learning Systems
Parution
2022-01-03
Marque
Springer
EAN papier
9789811680434
EAN PDF
9789811680441
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
8581 Ko
Prix
0,00 €
EAN EPUB
9789811680441
Informations sur l'ebook
Nombre pages copiables
2
Nombre pages imprimables
26
Taille du fichier
50104 Ko
Prix
0,00 €

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