Detection of Single and Dual Incipient Process Faults Using an Improved Artificial Neural Network
Changes in the physicochemical conditions of process unit, even under control, may lead to what are generically referred to as faults. The cognition of causes is very important, because the system can be diagnosed and fault tolerated. In this article, we discuss and propose an artificial neural netw...
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| Hlavní autoři: | , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Iranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECR
2005-09-01
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| Edice: | Iranian Journal of Chemistry & Chemical Engineering |
| Témata: | |
| On-line přístup: | http://www.ijcce.ac.ir/article_8117_561a9fb756743e00ac25b62424bc46a0.pdf |
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