Module 4 Estimation of Reliability Metrics
Lesson M04-09
Text: Section 7
Duration: 16 minutes
- Reliability Analysis Methods
- M01 Reliability Concepts & Data
- M02 Probability & Reliability Statistics
- M03 Assessing & Selecting Models for Time-to-Failure Data
- M04 Estimation of Reliability Metrics
- 01 Overview of Reliability Estimation & Methods
- 02 Confidence Intervals & Bounds
- 03 Using Minitab to Estimate Reliability Metrics (Demo)
- 04 Exercise
- 05 Reliability Estimation with Censored Data
- 06 Comparing Multiple Groups
- 07 Exercises
- 08 Handling Multiple Failure Modes & Exercise
- 09 Non-Parametric Estimation
- 10 Other Methods for Reliability Prediction
- M05 Introduction to System Reliability
- M06 Reliability Test Planning
- M07 Analysis of Warranty Data
- M08 Design for Reliability (DFR)
- M09 Introduction to Advanced Topics
In lesson 9, we introduce an estimation approach that does not require the use of a specific probability distribution. It is a more general approach which may be useful when adequate models are difficult to fit. There are some shortcomings of this approach. For example, a large amount of data is needed and extrapolation is not possible.
- Reliability Analysis Methods
- M01 Reliability Concepts & Data
- M02 Probability & Reliability Statistics
- M03 Assessing & Selecting Models for Time-to-Failure Data
- M04 Estimation of Reliability Metrics
- 01 Overview of Reliability Estimation & Methods
- 02 Confidence Intervals & Bounds
- 03 Using Minitab to Estimate Reliability Metrics (Demo)
- 04 Exercise
- 05 Reliability Estimation with Censored Data
- 06 Comparing Multiple Groups
- 07 Exercises
- 08 Handling Multiple Failure Modes & Exercise
- 09 Non-Parametric Estimation
- 10 Other Methods for Reliability Prediction
- M05 Introduction to System Reliability
- M06 Reliability Test Planning
- M07 Analysis of Warranty Data
- M08 Design for Reliability (DFR)
- M09 Introduction to Advanced Topics
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