A connectionist model for lock coil rope fault prediction
IR@CIMFR: CSIR-Central Institute of Mining and Fuel Research, Dhanbad
View Archive Info| Field | Value | |
| Title |
A connectionist model for lock coil rope fault prediction
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| Creator |
Basak, D.
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| Subject |
Electrical Testing
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| Description |
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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| Publisher |
British Institute of Non-Destructive Testing
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| Date |
2008-10
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| Type |
Article
PeerReviewed |
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| Format |
application/pdf
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| Identifier |
http://cimfr.csircentral.net/343/1/8.pdf
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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| Relation |
http://dx.doi.org/10.1784/insi.2008.50.9.501
http://cimfr.csircentral.net/343/ |
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