Evaluating the reliability of prototype degradable systems

The technique introduced in this paper is a new technique for analyzing fault tolerant designs under considerable uncertainty, such as seen in unique or few-of-a-kind devices in poorly known environments or pre-prototype design analyses. This technique is able to provide useful information while mai...

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Bibliographic Details
Published in:Reliability engineering & system safety 2001-04, Vol.72 (1), p.9-20
Main Authors: Leuschen, M.L., Walker, I.D., Cavallaro, J.R.
Format: Article
Language:English
Subjects:
Fault trees
Fuzzy sets
Interval arithmetic
Markov modeling
Robotics
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Summary:The technique introduced in this paper is a new technique for analyzing fault tolerant designs under considerable uncertainty, such as seen in unique or few-of-a-kind devices in poorly known environments or pre-prototype design analyses. This technique is able to provide useful information while maintaining the uncertainty inherent in the original specifications. The technique introduced here is a logical extension of the underlying concepts of fuzzy sets and Markov models. Although originally developed for robotic systems, the technique is more broadly applicable. This paper develops fuzzy Markov modeling and uses it to analyze a specific robot designed for hazardous waste removal and specific types of electronic systems.
ISSN:0951-8320
1879-0836
DOI:10.1016/S0951-8320(00)00097-1