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Track 1 Session 3
1:00 to 2:00 p.m. Tuesday June 17, 2008
Repairable Systems: Data Analysis and
Modeling
Data obtained from repairable systems must be analyzed
differently than data from non-repairable systems. For
non-repairable systems, the failure data is collected and a
representative distribution is fitted in order to perform
reliability estimations. For repairable systems, the analysis is not
as straightforward since a stochastic process is in place. Different
approaches are available depending on the data and the objective of
the analysis. For example, the engineer can analyze the data
"directly" by fitting the NHPP-Power Law model or the Generalized
Renewal Process model. Another approach is to break down the system
into its Lowest Replaceable Units and failure modes, obtain the
failure distributions of these, and then create and analyze the
Reliability Block Diagram of the system. Each method and model has
its underlying assumptions and it is imperative for the analyst to
be aware of them. In this presentation, the different approaches of
treating repairable system data are reviewed, and the available
models for each approach are explained and demonstrated using a case
study. In
addition, a variety of additional considerations and results
pertaining to repairable systems are presented.
Key Words: Repairable Systems Analysis, NHPP-Power Law,
Generalized Renewal Process, Reliability Block Diagram
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