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
Source: 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
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