2008
DOI: 10.1016/j.ress.2008.01.007
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An integrated methodology for the dynamic performance and reliability evaluation of fault-tolerant systems

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Cited by 60 publications
(38 citation statements)
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“… Redundancy: It is the foresight of the system to consider extra resources and alternatives to encounter emergency states when some facilities or human resources are unavailable (Frangopol & Curley, 1987). Fault-tolerant: It means if some components or operators of system confront a disorder, system can operate continuously in a proper manner (Domínguez-García et al, 2008).…”
Section: Integrated Resilience Engineeringmentioning
confidence: 99%
“… Redundancy: It is the foresight of the system to consider extra resources and alternatives to encounter emergency states when some facilities or human resources are unavailable (Frangopol & Curley, 1987). Fault-tolerant: It means if some components or operators of system confront a disorder, system can operate continuously in a proper manner (Domínguez-García et al, 2008).…”
Section: Integrated Resilience Engineeringmentioning
confidence: 99%
“…Draper Laboratory's Performance and Reliability Analysis via Dynamic Modeling (PARADyM) is an analysis suite to facilitate fault-tolerant design and operational concepts, and is the latest evolution of several decades of development in integrated system reliability estimation [3][4][5][6]. The latest approach utilizes MATLAB® and Simulink® to model each electro-mechanical component of the system with its respective dynamics or functional behavior, failure modes, and dependencies.…”
Section: Paradymmentioning
confidence: 99%
“…Also, cascading failures are captured in the integrated model -truncation only refers to the limit of concurrent random failures evaluated by the Markov model. For a greater discussion on PARADyM, the reader is referred to the research by Dominguez-Garcia that led to its development [5][6][7], or to contact the authors for more information (eventually to be published in a full-length paper).…”
Section: Paradymmentioning
confidence: 99%
“…The approach suggested here is not widely used. The main reason is that existing classical reliability quantification methods are not sufficient [1,2]. This is due to the dynamic characteristic of a control system.…”
Section: Introductionmentioning
confidence: 99%