结构健康监测
传感器
补偿(心理学)
信号(编程语言)
声学
残余物
校准
导波测试
振幅
衰减
温度测量
减法
职位(财务)
信号处理
材料科学
光学
物理
计算机科学
工程类
电信
数学
结构工程
算法
雷达
量子力学
精神分析
心理学
程序设计语言
算术
经济
财务
作者
Stefano Mariani,Sebastian Heinlein,P. Cawley
出处
期刊:IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control
[Institute of Electrical and Electronics Engineers]
日期:2019-09-11
卷期号:67 (1): 146-157
被引量:64
标识
DOI:10.1109/tuffc.2019.2940451
摘要
In guided wave structural health monitoring, defects are typically detected by identifying high residuals obtained through the baseline subtraction method, where an earlier measurement is subtracted from the "current" signal. Unfortunately, varying environmental and operational conditions (EOCs), such as temperature, also produce signal changes and hence, potentially, high residuals. While the majority of the temperature compensation methods that have been developed target the changed wave speed induced by varying temperature, a number of other effects are not addressed, such as the changes in attenuation, the relative amplitudes of different modes excited by the transducer, and the transducer frequency response. A temperature compensation procedure is developed, whose goal is to correct any spatially dependent signal change that is a systematic function of temperature. At each structural position, a calibration function that models the signal variation with temperature is computed and is used to correct the measurements, so that in the absence of a defect the residual is reduced to close to zero. This new method was applied to a set of guided wave signals collected in a blind trial of a guided wave pipe monitoring system using the T(0, 1) mode, yielding residuals de-coupled from temperature and reduced by at least 50% as compared with those obtained using the standard approach at positions away from structural features, and by more than 90% at features such as the pipe end. The method, therefore, promises a substantial improvement in the detectability of small defects, particularly at the existing pipe features.
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