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A comparison of the performance of radial basis function and multi-layer perceptron networks in condition monitoring and fault diagnosis applications

Li, Y, Pont, MJ and Jones, NB 1999, A comparison of the performance of radial basis function and multi-layer perceptron networks in condition monitoring and fault diagnosis applications , in: International Conference on Condition Monitoring, 12-15 April 1999, Swansea, UK.

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Abstract

In this paper, we provide a detailed comparison of multi-layer Perceptron (MLP) and radial basis function (RBF) networks in embedded, microcontroller-based condition monitoring and fault diagnosis applications. On the basis of the studies presented here, it is concluded that the MLP provides similar levels of performance to the RBF network while exerting a low computational load on the processor.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Engine misfire detection, neural networks, multi-layer perception, radial basis function, condition monitoring. fault classification
Schools: Schools > School of Computing, Science and Engineering
Journal or Publication Title: Proceedings of the International Conference on Condition Monitoring
Refereed: Yes
Funders: Non funded research
Depositing User: Yuhua Li
Date Deposited: 27 Jul 2015 16:56
Last Modified: 05 Apr 2016 18:18
URI: http://usir.salford.ac.uk/id/eprint/33145

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