105年第1學期-6188 可靠度分析 課程資訊

評分方式

評分項目	配分比例	說明
Homework	30
Mid. Exam	30
Final Project	40

教育目標

培養學生瞭解可靠度的基本理論,資料分析,與模型應用的方法 1. Introduction of Reliability 2. Combinatorial Methods for System Reliability 3. Parametric Lifetime Distributions 4. Markov Models 5. Repairable Systems

課程概述

Reliability is the probability that a product or a system will perform properly for at least a given period of time. Advanced manufacturing technology considerably drops the failure probabilities of many products. Hence, the analysis and design of reliability experiments are not easy tasks because only a few failures occur in a practical length of life-testing time. In this course, different types of analysis strategies and designs of experiments for reliability studies will be introduced. The following topics will be covered. 1. Probability distributions and quantities used to describe reliability 2. Different types of censorings 3. Nonparametric estimation of lifetime distributions 4. Parametric estimation of lifetime distributions 5. Probability plots 6. Lifetime regression models 7. Accelerated life tests (ALT) 8. Degradation analysis

基本資料

選修課，學分數：3-0
上課時間：二/7,8,9[M472]
修課班級：統計碩博1,2
修課年級：年級以上
選課備註：

參考書目

1. R.E. Barlow, F. Proschan (1981) Statistical Theory of Reliability and Life Testing: Probability Models, To begin With
2. M.J. Crowder, A.C. Kimber, R.L. Smith, T.J. Sweeting (1991) Statistical Analysis of Reliability Data, Capman & Hall
3. S. Zacks (1992) Introduction to Reliability Analysis, Springer-Verlag
4. William Q. Meeker, Luis A. Escobar (1998) Statistical Methods for Reliability Data, John Wiley & Sons
5. Terje Aven, Uwe Jensen (1999) Stochastic Models in Reliability, Springer
6. John D. Kalbfleisch, Ross L. Prentice (2002) The Statistical Analysis of Failure Time Data (2/E), John Wiley & Sons
7. Marvin Rausand, Arnljot Hoyland (2004) System Reliability Theory: Models, Statistical Methods, and Applications (2/E), Wiley