Module 2 Probability & Reliability Statistics
Lesson M02-05
Text: Section 3 pages 41 – 46
Duration: 11 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
Here, we revisit conditional probability as applied to reliability estimation. We present an example when burn-in is used to weed out defective units. As illustrated in the example, burn-in is only effective when we are trying to strengthen a population that is subject to infant mortality failures.
- 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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