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D. Tang, M. Hecht, A. Rosin, J. Handal, Experience and Using MEADEP, 1999 Annual
Reliability and Maintainability Symposium, Washington DC, USA, Jan 18-21, 1999.
SUMMARY and CONCLUSIONS. This paper reports SUMMARY and CONCLUSIONS. This paper reports some of our experience in using and
Model Generator (MG) for graphically building
MEADEP a newly developed
measurement-based hierarchical reliability block diagrams and Markov models
dependability evaluation tool that includes both data analysis and modeling
functions. Several issues are discussed: identification of time between outages
and time to repair distributions, need for more graphical model forms, and
MEADEP is currently used
by technical staff at SoHaR consistency between parameter estimation and model
evaluation and System Resources Corporation in availability analysis of
algorithms. The identified distribution functions are valuable U.S. airport
runways and runway-related facilities under a for detailed analysis and
realistic modeling. The significance of contract with the Federal Aviation
Administration (FAA). discovering the inconsistency between the failure rate
Several universities and companies have also started using estimation and the
availability evaluation algorithms is not MEADEP. This paper reports our
experience in the initial use limited to only MEADEP because both algorithms are
of MEADEP, including issues such as the identification of commonly used. The
need for more graphical model forms and time between outages and time to repair
distributions, the need the demand for better user interface are driving
improvements for more graphical model forms, and consistency between for MEADEP.
These issues provide insights into the roles and parameter estimation and model
evaluation algorithms future directions for this kind of tools data presentation
and parameter estimation and Model Evaluator (ME) for calculating various
dependability measures and graphical parametric analyses.
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