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Analyzing Reliability for Repairable Systems
Published on
11-07-2024
03:32 PM
by
DonMcCormack
| Updated on
11-07-2024
05:42 PM
Learn how to pinpoint defects in materials or processes for repairable systems and identify design vulnerabilities so you can understand the best way to correct them.
Repairable: observations depend on the previous failure time. They are only independent when the underlying distribution is Weibull and beta = 1.
Nonrepairable: observations are independent (and identically distributed). When the underlying distribution is Weibull, this relationship holds regardless of the value of beta.
See how to:
- Perform Recurrence Analysis for repairable components
- Perform Recurrence Analysis with a grouping variable
- Useful for extrapolation of system performance
- Determine spare parts inventory needs, warranty risk etc.
- Analyze Reliability Growth for concurrent or parallel repairable systems
- Good for understanding how reliability has changed as a function of design changes
- Use JMP Pro to create Reliability Block Diagrams to show reliability relationships among a system's components and illustrate how component reliability contributes to system success or failure
Q: Can I get confidence intervals/bounds for Recurrence Analysis?
A: No, not visually. However, you can specify a time or number of evetns and get confidence intervals on that using Specific Time for Cumulative and Specific Intensity and Cumulative options. See below:
Start:
Fri, Jun 14, 2024 02:00 PM EDT
End:
Fri, Jun 14, 2024 03:00 PM EDT