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Can I read FDI approach to the DAMADICS benchmark problem based on qualitative reasoning coupled with fuzzy neural networks on EtoBox?
FDI approach to the DAMADICS benchmark problem based on qualitative reasoning coupled with fuzzy neural networks by J.M.F. Calado; J.M.G. Sá da Costa; M. Bartys; J. Korbicz is a Engineering article available to read on EtoBox.
What is FDI approach to the DAMADICS benchmark problem based on qualitative reasoning coupled with fuzzy neural networks about?
A computer-assisted fault detection and isolation (FDI) based on a fuzzy qualitative simulation algorithm used for fault detection purposes, coupled with a hierarchical structure of fuzzy neural networks used to perform the fault isolation task, is presented. The DAMADICS benchmark actuator system has been used as test bed of the current FDI system. Single abrupt and incipient faults, as well as multiple simultaneous faults have been considered to test the overall system robustness. The results obtained prove the efficiency of the proposed FDI system.
Who reads FDI approach to the DAMADICS benchmark problem based on qualitative reasoning coupled with fuzzy neural networks?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- J.M.F. Calado; J.M.G. Sá da Costa; M. Bartys; J. Korbicz
- Publisher
- Elsevier Science; Elsevier ; Elsevier Ltd.; Elsevier BV (ISSN 0967-0661)
- Published
- 2006
- Language
- EN
- Field
- Engineering (Physical Sciences)
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