On selecting pre-processing techniques for fault classification using neural networks : A pilot study
Li, Y and Pont, MJ 2002, 'On selecting pre-processing techniques for fault classification using neural networks : A pilot study' , International Journal of Knowledge-Based Intelligent Engineering Systems, 6 (2) , pp. 80-87.
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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.
|Schools:||Schools > School of Computing, Science and Engineering|
|Journal or Publication Title:||International Journal of Knowledge-Based Intelligent Engineering Systems|
|Funders:||Non funded research|
|Depositing User:||Yuhua Li|
|Date Deposited:||31 Jul 2015 17:15|
|Last Modified:||05 Apr 2016 19:31|
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