A survey of fault diagnosis for swarm systems

Liguo Qin, Xiao He, D. Zhou
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引用次数: 76

Abstract

Swarm systems have received increasing research attention in recent years and they can be found in many application areas as diverse as unmanned vehicle formation systems, multi-robot systems, sensor networks, etc. Reliability and safety are important issues in swarm systems, which can be improved by the fault diagnosis technology. In this paper, recent development of fault diagnosis algorithms for swarm systems is reviewed. The description of swarm systems is given, followed by characteristics of faults in swarm systems. Specially, faults in swarm systems are classified into topology faults and component faults. Then fault diagnosis algorithms for swarm systems are classified according to their architectures, fault types and approaches, respectively. Finally, several unsolved problems of fault diagnosis algorithms for swarm systems are highlighted.
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群系统故障诊断研究进展
近年来,群系统得到了越来越多的研究关注,在无人驾驶车辆编队系统、多机器人系统、传感器网络等许多应用领域都有应用。可靠性和安全性是群系统的重要问题,故障诊断技术可以提高群系统的可靠性和安全性。本文综述了近年来群系统故障诊断算法的研究进展。给出了群系统的描述,给出了群系统的故障特征。其中,群系统故障分为拓扑故障和组件故障。然后根据群系统的结构、故障类型和方法对群系统的故障诊断算法进行分类。最后,重点介绍了群系统故障诊断算法中尚未解决的几个问题。
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