# 102年第1學期-6152 可靠度分析 課程資訊

Homework 30
Mid. Exam 30
Final Project 40

## 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

## 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 Høyland (2004) System Reliability Theory: Models, Statistical Methods, and Applications (2/E), Wiley
8. Alessandro Birolini (2010) Reliability Engineering: Theory and Practice (6/E), Springer