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 SystemsCultivating students to understand the basic theories of reliability, data analysis, and methods of model application
1. Introduction of Reliability
2. Combinatorial Methods for System Reliability
3. Parametric Lifetime Distributions
4. Markov Models
5. Repairable Systems
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
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 probability 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
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
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
| 評分項目 Grading Method | 配分比例 Grading percentage | 說明 Description |
|---|---|---|
| HomeworkHomework Homework |
30 | |
| Mid. ExamMid. Exam Mid. Exam |
30 | |
| Final ProjectFinal Project Final Project |
40 |
