By Topic

MEADEP: a dependability evaluation tool for engineers

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Dong Tang ; SoHar Inc., Beverly Hills, CA, USA ; M. Hecht ; J. Miller ; J. Handal

MEADEP (measure dependability) is a user-friendly dependability-evaluation tool for measurement-based analysis of critical systems. MEADEP consists of 4 software modules: a data preprocessor for converting data in various formats to the MEADEP format, a data analyzer for graphical data-presentation and parameter estimation, a graphical modeling interface for building block diagrams (including the exponential block, Weibull block, and k-out-of-n block) and Markov reward chains, and a model-solution module for availability/reliability calculations with graphical parametric analysis. Use of the tool on failure data, from measurements provides quantitative evaluations of dependability for the target system, while greatly reducing requirements for specialized skills in data-analysis and system-modeling from the user. MEADEP has been applied to evaluate availability for two air-traffic control systems based on operational failure data; the results have provided valuable feedback to the project management of these critical systems. MEADEP has been used to analyze a nuclear power-plant safety model, based on the Eagle 21 architecture and its early field-failure data. The study identified the most sensitive parameter and its most sensitive value segment to the plant mean time between hazards

Published in:

IEEE Transactions on Reliability  (Volume:47 ,  Issue: 4 )