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On selecting pre-processing techniques for fault classification using neural networks

Biomedical Sciences Research Institute Computer Science Research Institute Environmental Sciences Research Institute Nanotechnology & Advanced Materials Research Institute

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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Abstract

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
ID Code:8746
Deposited By:Dr Yuhua Li
Deposited On:03 Feb 2010 11:27
Last Modified:03 Feb 2010 11:27

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