教學大綱 Syllabus

科目名稱:可靠度分析

Course Name: Reliability Analysis

修別:選

Type of Credit: Elective

3.0

學分數

Credit(s)

50

預收人數

Number of Students

課程資料Course Details

課程簡介Course Description

Reliability refers to the long-term quality of a product, and the purpose of conducting reliability tests is to evaluate the product's lifetime. However, with the advancement of industrial technology, collecting effective product failure information within the limited experimental time is difficult, making it more challenging to infer reliability. This course will discuss various real data types in reliability tests and apply mathematical statistics methods to conduct reliability analysis.

核心能力分析圖 Core Competence Analysis Chart

能力項目說明


    課程目標與學習成效Course Objectives & Learning Outcomes

    This course will introduce the reliability test, providing students with a basic understanding and analysis skills of reliability testing. Students will learn how to apply statistical methods to evaluate the reliability of products and conduct practical analysis using the software R.

    每周課程進度與作業要求 Course Schedule & Requirements

    教學週次Course Week 彈性補充教學週次Flexible Supplemental Instruction Week 彈性補充教學類別Flexible Supplemental Instruction Type

    Week

    Topic

    Content and Reading Assignment

    Teaching Activities and Homework

    1

    Reliability concepts and reliability data

    Chapter 1

    Lecture

    2

    Models, censoring and likelihood for failure-time data

    Chapter 2

    Lecture, Homework

    3

    Nonparametric estimates to failure-time data

    Chapter 3

    Lecture, Homework

    4

    Location-scale-based parametric distributions

    Chapter 4

    Lecture, Homework

    5

    Probability Plotting

    Chapter 6

    Lecture

    6

    Probability Plotting

    Chapter 6

    Lecture, Homework

    7

    Parametric Likelihood Fitting Concepts

    Chapter 7

    Lecture, Homework

    8

    Midterm

     

     

    9

    Maximum likelihood for log-location-scale distributions

    Chapter 8

    Lecture

    10

    Maximum likelihood for log-location-scale distributions

    Chapter 8

    Lecture, Homework

    11

    Parametric maximum likelihood: other models

    Chapter 11

    Lecture

    12

    Parametric maximum likelihood: other models

    Chapter 11

    Lecture, Homework

    13

    Failure-Time Regression Analysis

    Chapter 17

    Lecture

    14

    Failure-Time Regression Analysis

    Chapter 17

    Lecture, Homework

    15

    Analysis of Accelerated Life-Test Data

    Chapter 18

    Lecture

    16

    Final report

     

     

    17

    Analysis of Accelerated Life-Test Data

    Chapter 18

    Self-Learning

    18

    Analysis of Accelerated Life-Test Data

    Chapter 18

    Self-Learning

    授課方式Teaching Approach

    90%

    講述 Lecture

    10%

    討論 Discussion

    0%

    小組活動 Group activity

    0%

    數位學習 E-learning

    0%

    其他: Others:

    評量工具與策略、評分標準成效Evaluation Criteria

    Quiz 15%

    Homework 25%

    Midterm 30%

    Final Report 30%

    指定/參考書目Textbook & References

    Textbook: Statistical Methods for Reliability Data by Meeker and Escobar (1998), Wiley

    References:

    1. Applied Life Data Analysis by Nelson (1982), Wiley.

    2. Statistical Models and Methods for Lifetime Data, 2ed, by Lawless (2002), Wiley

    已申請之圖書館指定參考書目 圖書館指定參考書查詢 |相關處理要點

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    課程相關連結Course Related Links

    
                

    課程附件Course Attachments

    課程進行中,使用智慧型手機、平板等隨身設備 To Use Smart Devices During the Class

    Yes

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