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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| Main Authors: | , , |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Singapore :
Springer Nature Singapore : Imprint: Springer,
2022.
|
| Edition: | 1st ed. 2022. |
| Series: | Intelligent Control and Learning Systems,
3 |
| Subjects: | |
| Online Access: | Link to Metadata |
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Data-Driven Fault Detection and Reasoning for Industrial Monitoring
Published 2022
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Data-Driven Fault Detection and Reasoning for Industrial Monitoring
Published 2022
DOAB: download the publication
DOAB: description of the publication
Electronic
Book Chapter