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  • 标题:Reliability Estimation Based on the Degradation Amount Distribution Using Composite Time Series Analysis and Grey Theory
  • 本地全文:下载
  • 作者:L. Wang ; Z. Liu ; X. Jin
  • 期刊名称:Cybernetics and Information Technologies
  • 印刷版ISSN:1311-9702
  • 电子版ISSN:1314-4081
  • 出版年度:2013
  • 卷号:13
  • 期号:2
  • DOI:10.2478/cait-2013-0021
  • 出版社:Bulgarian Academy of Science
  • 摘要:This paper puts forward a reliability estimation method by the Degradation Amount Distribution (DAD) of products, using a composite time series modeling procedure and grey theory based on a random failure threshold. Product DAD data are treated as a composite time series and described using a composite time series model to predict a long-term trend of degradation. The degradation test is processed for a certain electronic product and the degradation data is collected for reliability estimation. Comparison among the reliability evaluation by DAD composite time series analysis and grey theory, based on a constant and a random failure threshold, reliability evaluation by DAD regression analysis based on a random failure threshold, reliability evaluation by degradation path time series analysis, and real reliability of the electronic product is done. The results show that the reliability evaluation of the product using the method proposed is the most creditable of all
  • 关键词:Reliability estimation; time series; grey theory; degradation amount ;distribution.
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