105年第1學期-6188 可靠度分析 課程資訊

課程分享

選課分析

本課程名額為 70人,已有4人選讀,尚餘名額66人。

評分方式

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

授課教師

王榮琮

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

課程資訊

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