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Analyzing Reliability for Repairable Systems

Published on ‎11-07-2024 03:32 PM by Staff | 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.

Analyzing Reliability for Repairable Systems
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      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:

      Can I Get Confidence Intervals on Recurrence Analysis
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