Please use this identifier to cite or link to this item:
https://doi.org/10.1007/11760191_54
| Title: | Fault detection and diagnosis using neural network design | Authors: | Tan, K.K. Huang, S. Lee, T.H. |
Issue Date: | 2006 | Citation: | Tan, K.K.,Huang, S.,Lee, T.H. (2006). Fault detection and diagnosis using neural network design. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 3973 LNCS : 364-369. ScholarBank@NUS Repository. https://doi.org/10.1007/11760191_54 | Abstract: | In this work, a fault detection method is designed baaed on neural networks. The proposed method is that a neural network is built on-line for the normal mode, while other one is used to diagnose the faults. The simulation shows the effectiveness of the proposed method. © Springer-Verlag Berlin Heidelberg 2006. | Source Title: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | URI: | http://scholarbank.nus.edu.sg/handle/10635/70313 | ISBN: | 3540344829 | ISSN: | 03029743 | DOI: | 10.1007/11760191_54 |
| Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.