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首页> 外文期刊>International Journal of Sustainable Materials and Structural Systems >Design and optimisation of a distributive model-based sensor fault detection method for automated in-network execution in a wireless sensor network
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Design and optimisation of a distributive model-based sensor fault detection method for automated in-network execution in a wireless sensor network

机译：基于分布式模型的传感器故障检测方法的设计与优化无线传感器网络中的网络自动网络执行

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In this paper, a distributed model-based sensor fault detection method is presented for detecting and identifying spike faults without the requirement of the existence of reference sensors. This method partitions the sensor network into sensor pairs and carries out fault diagnosis within these sensor pairs based on autoregressive with exogenous input time series analysis. The performance of the proposed method is evaluated by implementing the algorithm in a 16-node wireless sensor network deployed to monitor the traffic induced accelerations of the Grove Street Bridge (Ypsilanti, Michigan). Spike faults are generated on-site and superimposed on the acceleration measurement before being acquired by some of the monitoring system wireless sensors. In addition to accuracy evaluation, this study focuses on the relationship between the detection accuracy and three different network partition methods. Based on this relationship, a communication energy saving partition method is presented. The proposed algorithm achieved a detection rate of over 85% yet reduced communication energy by more than 54% when compared to a centralised fault detection method implemented in the monitoring system base station.
机译：本文介绍了一种用于检测和识别尖峰故障的分布式模型的传感器故障检测方法，而不需要参考传感器的存在。该方法将传感器网络分区传感器对，并根据具有外源输入时间序列分析的自回归，在这些传感器对中进行故障诊断。通过在部署的16节点无线传感器网络中实现算法来评估所提出的方法的性能，以监视流量触发器（Ypsilanti，Michigan）的流量诱导的加速度。在现场产生尖峰故障并在由一些监控系统无线传感器获取之前叠加在加速度测量上。除准确性评估外，本研究侧重于检测精度与三种不同网络分区的关系。基于这种关系，提出了一种通信节能分区方法。与监控系统基站中实现的集中式故障检测方法相比，所提出的算法达到了超过85％，但通信能量超过85％的速率超过54％。

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