Approximate multi-state reliability expressions using a new machine learning technique [An article from: Reliability Engineering and System Safety] Buy on Amazon

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Approximate multi-state reliability expressions using a new machine learning technique [An article from: Reliability Engineering and System Safety]

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PublisherElsevier
ISBN / ASINB000RR5V7I
ISBN-13978B000RR5V76
AvailabilityAvailable for download now
MarketplaceUnited States  🇺🇸

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This digital document is a journal article from Reliability Engineering and System Safety, published by Elsevier in . The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.

Description:
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.
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