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Analyzing Reliability for Repairable Systems

Learn how to pinpoint defects in materials or processes for repariable 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:

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