Evaluating the reliability of prototype degradable systems

被引:8
作者
Leuschen, ML [1 ]
Walker, ID
Cavallaro, JR
机构
[1] Rice Univ, Dept Elect & Comp Engn, Houston, TX 77005 USA
[2] Clemson Univ, Dept Elect & Comp Engn, Clemson, SC 29634 USA
基金
美国国家科学基金会;
关键词
fault trees; Markov modeling; robotics; interval arithmetic; fuzzy sets;
D O I
10.1016/S0951-8320(00)00097-1
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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. (C) 2001 Elsevier Science Ltd. All rights reserved.
引用
收藏
页码:9 / 20
页数:12
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