Module 1 Reliability Concepts & Data
Lesson M01-03
Text: Section 1 page 4
Duration: 21 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
The type of data we collect affects how much data we need, and the methods used to analyze it. In this lesson, we explore different types and sources of reliability data, classifications of analyses, and challenging/unique aspects of reliability analyses.
- 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
We need to take care about the kind of data we need because we can have multiple choices of data.
We can have binary data (pass/fail) or we can have timing data. The quantity of data required is related to the data type.
Luca, thanks for the comment. Yes, binary data really increases the sample size needed for analysis.