Li, Yuhua and Pont, Michael J (2002) On selecting pre-processing techniques for fault classification using neural networks. International Journal of Knowledge-Based Intelligent Engineering Systems, 6 (2). pp. 80-87. [Journal article]
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This paper introduces a measure for selecting an appropriate pre-processing strategy for use in neural network-based condition monitoring and fault diagnosis (CMFD) applications. The proposed selection measure is derived from a non-parametric separability matrix: no knowledge of the underlying distribution of the data is required. The effectiveness of this measure is explored on a problem of engine misfire detection.
|Item Type:||Journal article|
|Faculties and Schools:||Faculty of Computing & Engineering|
Faculty of Computing & Engineering > School of Computing and Intelligent Systems
|Research Institutes and Groups:||Computer Science Research Institute|
Computer Science Research Institute > Intelligent Systems Research Centre
|Deposited By:||Dr Yuhua Li|
|Deposited On:||03 Feb 2010 11:27|
|Last Modified:||09 May 2016 10:55|
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