DocumentCode :
1495134
Title :
MEADEP: a dependability evaluation tool for engineers
Author :
Tang, Dong ; Hecht, Myron ; Miller, Jeffrey ; Handal, Jady
Author_Institution :
SoHar Inc., Beverly Hills, CA, USA
Volume :
47
Issue :
4
fYear :
1998
fDate :
12/1/1998 12:00:00 AM
Firstpage :
443
Lastpage :
450
Abstract :
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
Keywords :
Markov processes; aerospace computing; air traffic control; failure analysis; fission reactor safety; nuclear engineering computing; nuclear power stations; parameter estimation; reliability; software packages; Eagle 21 architecture; MEADEP; Markov reward chains; Weibull block; air-traffic control systems; availability; building block diagrams; critical systems analysis; data analyzer; data conversion; data preprocessor; data-analysis; dependability evaluation tool; early field-failure data; exponential block; feedback; graphical data-presentation; graphical modeling interface; graphical parametric analysis; k-out-of-n block; mean time between hazards; measure dependability; measurement-based analysis; model-solution module; nuclear power-plant safety model; operational failure data; parameter estimation; project management; reliability; software modules; system-modeling; user-friendly; Automatic generation control; Availability; Centralized control; Data analysis; Data engineering; Data envelopment analysis; Failure analysis; Graphical user interfaces; Parameter estimation; Software tools;
fLanguage :
English
Journal_Title :
Reliability, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9529
Type :
jour
DOI :
10.1109/24.756088
Filename :
756088
Link To Document :
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