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Sensor validation using principal component analysis

机译:使用主成分分析进行传感器验证

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For a reliable on-line vibration monitoring of structures, it is necessary to have accurate sensor information. However, sensors may sometimes be faulty or may even become unavailable due to failure or maintenance activities. The problem of sensor validation is therefore a critical part of structural health monitoring. The objective of the present study is to present a procedure based on principal component analysis which is able to perform detection, isolation and reconstruction of a faulty sensor. Its efficiency is assessed using an experimental application.
机译:为了对结构进行可靠的在线振动监测,必须具有准确的传感器信息。但是,由于故障或维护活动,传感器有时可能会出现故障,甚至变得不可用。因此,传感器验证问题是结构健康监测的关键部分。本研究的目的是提出一种基于主成分分析的程序,该程序能够执行故障传感器的检测,隔离和重建。使用实验应用评估其效率。

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