Wang, Jing,
Data-driven fault detection and reasoning for industrial monitoring / Jing Wang, Jinglin Zhou, Xiaolu Chen. - 1 online resource (277 pages) : illustrations (chiefly color). - Intelligent control and learning systems ; volume 3 . - Intelligent control and learning systems ; volume 3. .
Includes bibliographical references.
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.
9788981168049 9789811680441 9811680442 8981168040
10.1007/978-981-16-8044-1 doi
Industrial engineering--Data processing.
Fault location (Engineering)--Data processing.
Industrial engineering.
Automation.
Industrial engineering--Data processing
Electronic book.
T57.5 / .W36 2022
Data-driven fault detection and reasoning for industrial monitoring / Jing Wang, Jinglin Zhou, Xiaolu Chen. - 1 online resource (277 pages) : illustrations (chiefly color). - Intelligent control and learning systems ; volume 3 . - Intelligent control and learning systems ; volume 3. .
Includes bibliographical references.
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.
9788981168049 9789811680441 9811680442 8981168040
10.1007/978-981-16-8044-1 doi
Industrial engineering--Data processing.
Fault location (Engineering)--Data processing.
Industrial engineering.
Automation.
Industrial engineering--Data processing
Electronic book.
T57.5 / .W36 2022