Building reliability growth model using sequential experiments and the Bayesian theorem for small datasets

Der Chiang Li, Fengming M. Chang, Kuei Ching Chen

研究成果: Article同行評審

21 引文 斯高帕斯(Scopus)

摘要

Early in the process of developing a new product, on hand data is usually scarce and it is hard to assess product reliability. Many previous studies thus assume prior product failure distribution in the area of reliability estimation. However, when real data distribution is different from the assumed one, the reliability estimation accuracy is biased. This paper proposed a modeling method with four steps to build a reliability growth model for new products without assuming prior distribution. A sequential test procedure and the Bayesian theorem are mainly employed in the method presented. The results indicate that the proposed method can successfully build a reliability growth model for new products.

原文English
頁(從 - 到)3434-3443
頁數10
期刊Expert Systems With Applications
37
發行號4
DOIs
出版狀態Published - 2010 四月

All Science Journal Classification (ASJC) codes

  • 工程 (全部)
  • 電腦科學應用
  • 人工智慧

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