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Proceedings Paper

Fuzzy system reliability computation of the convoy of unmanned intelligent vehicles
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Paper Abstract

Unmanned intelligent ground vehicles play significant role in wide range of applications. They are of great significance in military applications as well as other commercial applications. In order to assure the performance of unmanned intelligent vehicles, it is important to predict the reliability of the system. Reliability can be calculated using different approaches as seen in the literature, but we propose a Graph theoretic approach supported by Fuzzy and Neuro-Fuzzy approaches for predicting the node and branch reliability of the system. We portray the convoy of unmanned vehicles as a communication network where the nodes represent the station of the convoy of unmanned intelligent vehicles and the branches would represent the path between two stations. The node and branch reliability is calculated using the Fuzzy and Neuro Fuzzy approaches. The terminal and system reliability would be calculated using Boolean algebra. Thus the overall system reliability of a convoy of vehicles is the result of Fuzzy, Neuro-Fuzzy and Boolean approaches. A spanning tree based algorithm is proposed for computation of the system reliability of a convoy of vehicles. We also propose to simulate the overall system reliability with some existing data of factors that contribute in computation of node and branch reliability.

Paper Details

Date Published: 16 October 2008
PDF: 11 pages
Proc. SPIE 7112, Unmanned/Unattended Sensors and Sensor Networks V, 71120Z (16 October 2008); doi: 10.1117/12.800419
Show Author Affiliations
Harpreet Singh, Wayne State Univ. (United States)
Arati M. Dixit, Wayne State Univ. (United States)
Adam Mustapha, Wayne State Univ. (United States)
Grant R. Gerhart, U.S. Army Tank-Automotive Research, Development and Engineering Ctr. (United States)


Published in SPIE Proceedings Vol. 7112:
Unmanned/Unattended Sensors and Sensor Networks V
Edward M. Carapezza, Editor(s)

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