Paper
25 April 2008 Modeling and simulation of reliability of unmanned intelligent vehicles
Author Affiliations +
Abstract
Unmanned ground vehicles have a large number of scientific, military and commercial applications. A convoy of such vehicles can have collaboration and coordination. For the movement of such a convoy, it is important to predict the reliability of the system. A number of approaches are available in literature which describes the techniques for determining the reliability of the system. Graph theoretic approaches are popular in determining terminal reliability and system reliability. In this paper we propose to exploit Fuzzy and Neuro-Fuzzy approaches for predicting the node and branch reliability of the system while Boolean algebra approaches are used to determine terminal reliability and system reliability. Hence a combination of intelligent approaches like Fuzzy, Neuro-Fuzzy and Boolean approaches is used to predict the overall system reliability of a convoy of vehicles. The node reliabilities may correspond to the collaboration of vehicles while branch reliabilities will determine the terminal reliabilities between different nodes. An algorithm is proposed for determining the system reliabilities of a convoy of vehicles. The simulation of the overall system is proposed. Such simulation should be helpful to the commander to take an appropriate action depending on the predicted reliability in different terrain and environmental conditions. It is hoped that results of this paper will lead to more important techniques to have a reliable convoy of vehicles in a battlefield.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Harpreet Singh, Arati M. Dixit, Adam Mustapha, Kuldip Singh, K. K Aggarwal, and Grant R. Gerhart "Modeling and simulation of reliability of unmanned intelligent vehicles", Proc. SPIE 6962, Unmanned Systems Technology X, 696218 (25 April 2008); https://doi.org/10.1117/12.771515
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Cited by 4 scholarly publications.
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KEYWORDS
Reliability

Fuzzy logic

Unmanned vehicles

Failure analysis

Fuzzy systems

MATLAB

Modeling and simulation

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