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Directional Markov Chain Monte Carlo Algorithm for Fast Dynamic Reliability Assessment

Published:11 November 2020Publication History

ABSTRACT

Failure problems of many electromechanical devices are caused by the interaction of discrete disturbance and continuous degradation. A challenge presented by such multiscale failure behavior is how to implement fast dynamic reliability assessment. The Directional Markov Chain Monte Carlo (DMCMC) algorithm was thus presented to resolve the problem with variable steps. Thanks to the definition of failure space and the directional sampling principle, the computational cost was thus reduced. Simulation of a servo valve case demonstrated its efficiency.

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    • Published in

      cover image ACM Other conferences
      WSSE '20: Proceedings of the 2nd World Symposium on Software Engineering
      September 2020
      329 pages
      ISBN:9781450387873
      DOI:10.1145/3425329

      Copyright © 2020 ACM

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      Publication History

      • Published: 11 November 2020

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