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Model-based on-line sensor fault detection in Wireless Sensor Actuator Networks

机译:无线传感器执行器网络中基于模型的在线传感器故障检测

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Wireless Sensor Actuator Networks (WSANs) have shown its advantages of flexibility and cable-free deployment in industrial applications. However, the sensors explore directly to the harsh environment and are the most prone to faults and malfunctioning, which poses a big challenge to the WSAN's applicability in applications with high safety requirements. This paper focuses on highly reliable WSANs equipped with double-sensing system and proposes a model-based on-line sensor fault detection scheme by exploiting information redundancy between sensors and actuators. An optimization method is developed to make the proposed scheme robust to the largely fluctuating end-to-end packet transmission delays due to wireless communications. The performance of the proposed sensor fault detection scheme is demonstrated by the simulation of a pick and place robot.
机译:无线传感器致动器网络(WSAN)已显示出其在工业应用中的灵活性和无电缆部署的优势。但是,传感器直接探测恶劣的环境,并且最容易出现故障和故障,这对WSAN在具有高安全性要求的应用中的适用性构成了巨大挑战。本文重点介绍了配备双传感系统的高度可靠的WSAN,并通过利用传感器与执行器之间的信息冗余,提出了一种基于模型的在线传感器故障检测方案。开发了一种优化方法,以使所提出的方案对由于无线通信而引起的极大波动的端到端分组传输延迟具有鲁棒性。所提出的传感器故障检测方案的性能通过拾取和放置机器人的仿真得到了证明。

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