Data-driven fault detection and reasoning for industrial monitoring

Data-driven fault detection and reasoning for industrial monitoring / Jing Wang, Jinglin Zhou, Xiaolu Chen.

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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Bibliographic Details
Main Authors: Wang, Jing (Author), Zhou, Jinglin (Author), Chen, Xiaolu (Author)
Format: eBook
Language:English
Published: Singapore : Springer, [2022]
Series:Intelligent control and learning systems ; volume 3.
Subjects:
Industrial engineering > Data processing.
Fault location (Engineering) > Data processing.
Industrial engineering.
Automation.
industrial engineering.
automation.
Robotics.
Artificial intelligence.
Fault location (Engineering) > Data processing
Industrial engineering > Data processing
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