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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| Superior document: | Intelligent Control and Learning Systems ; v.3 |
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| Place / Publishing House: | Singapore : : Springer Singapore Pte. Limited,, 2022. ©2022. |
| Year of Publication: | 2022 |
| Language: | English |
| Series: | Intelligent Control and Learning Systems
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| Physical Description: | 1 online resource (277 pages) |
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Electronic
| DOAB Directory of Open Access Books | Available |