A connectionist model for lock coil rope fault prediction
In this paper, a neural network-based method of wire rope fault prediction in a system is proposed. This method is developed based on past observations on various wire rope parameters for lock coil rope, for example number of rope used in the system, period of test, number of faults, etc. To capture the data from various systems, with a view to improving the prediction accuracy, we have designed a multi-layer perceptron network (MLP) to realise better performance.
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Document Type: Research Article
Affiliations: 1 Electrical Laboratory, Central Institute of Mining and Fuel Research, Barwa Road, Dhanbad 826001, India. deba65yahoo.com.
Publication date: October 1, 2008
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- Official Journal of The British Institute of Non-Destructive Testing - includes original research and devlopment papers, technical and scientific reviews and case studies in the fields of NDT and CM.
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