Decentralized fault detection and isolation in wireless structural health monitoring systems using analytical redundancy
Decentralized fault detection and isolation in wireless structural health monitoring systems using analytical redundancy
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DOI：
10.1016/j.advengsoft.2014.02.005
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发表时间：
2014-07-01
影响因子：
4.8
通讯作者：
Law, Kincho H.
中科院分区：
文献类型：
--
作者：
Smarsly, Kay;Law, Kincho H.
部署用于长期结构健康监测（SHM）的无线传感器网络时，最关键的问题之一是传感器的正确和可靠运行。传感器故障可能会降低监测质量，如果不被发现，可能会由于结构评估和被监测结构的生命周期管理所需的传感器数据不准确或缺失而造成重大的经济损失。本文提出了无线SHM系统中自主传感器故障检测和隔离的一种完全分散的方法。在被监测的结构中物理地安装多个冗余传感器（“物理冗余”）将涉及成本和可维护性方面的重大损失，而SHM系统中固有的信息被用于故障检测和隔离（“分析冗余”）。与传统的集中式方法不同，分析冗余方法是分布式实现的：无线SHM系统的部分模型，以面向对象的方式通过人工神经网络实现，嵌入到部署用于监控的无线传感器节点中。本文介绍了一种能够自主检测和隔离各种传感器故障的无线SHM系统的设计和原型实现。在实验室实验中，原型SHM系统通过向无线传感器节点注入故障来验证，同时部署在测试结构上。最后对研究结果进行了讨论，并对未来可能的研究方向进行了展望。(C) 2014 Elsevier Ltd.版权所有，
One of the most critical issues when deploying wireless sensor networks for long-term structural health monitoring (SHM) is the correct and reliable operation of sensors. Sensor faults may reduce the quality of monitoring and, if remaining undetected, might cause significant economic loss due to inaccurate or missing sensor data required for structural assessment and life-cycle management of the monitored structure. This paper presents a fully decentralized approach towards autonomous sensor fault detection and isolation in wireless SHM systems. Instead of physically installing multiple redundant sensors in the monitored structure ("physical redundancy"), which would involve substantial penalties in cost and maintainability, the information inherent in the SHM system is used for fault detection and isolation ("analytical redundancy"). Unlike traditional centralized approaches, the analytical redundancy approach is implemented distributively: Partial models of the wireless SHM system, implemented in terms of artificial neural networks in an object-oriented fashion, are embedded into the wireless sensor nodes deployed for monitoring. In this paper, the design and the prototype implementation of a wireless SHM system capable of autonomously detecting and isolating various types of sensor faults are shown. In laboratory experiments, the prototype SHM system is validated by injecting faults into the wireless sensor nodes while being deployed on a test structure. The paper concludes with a discussion of the results and an outlook on possible future research directions. (C) 2014 Elsevier Ltd. All rights reserved,