Basak, D. (2008) A connectionist model for lock coil rope fault prediction. Insight, 50 (9). pp. 501-505. ISSN 1354-2575

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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.

Item Type: Article
Uncontrolled Keywords: Wire rope; neural networks; multi-layer perceptron; back propagation
Subjects: Electrical Testing
Depositing User: Dr. Satyendra Kumar Singh
Date Deposited: 13 Dec 2011 04:51
Last Modified: 21 Jan 2012 09:44

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