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Approximate multi-state reliability expressions using a new machine learning technique
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DOI：10.1016/j.ress.2004.08.023.png)
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Abstract
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The machine-learning-based methodology, previously proposed by the authors for approximating binary reliability expressions, is now extended to develop a new algorithm, based on the procedure of Hamming Clustering, which is capable to deal with multi-state systems and any success criterion. The proposed technique is presented in details and verified on literature cases: experiment results show that the new algorithm yields excellent predictions. (c) 2004 Elsevier Ltd. All rights reserved.
Keywords:
network reliability evaluation
reliability expression
rule generation
hamming clustering
multi-state system
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