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基于最小二乘法的振动监测系统测量噪声现场标定

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分析振动监测系统的测量噪声水平是结构健康监测设计的重要步骤,有利于优化测试方案和后期模态参数识别.本文从数据采集全过程入手分析测量噪声的主要来源和统计特性,基于最小二乘法原理,提出标定硬件噪声水平的"n信道"方法和估计多信道同步误差的方法.前者允许以任意数量的信道组合进行噪声估计,能够充分利用所有信道的信息,增强结果的稳定性;后者运用时滞测量信号的频域特性,通过互功率谱密度的比值实现信道间亚毫秒级同步误差估计.所提方法的正确性、鲁棒性和实用性通过某桥梁振动监测系统的测量数据得到验证.
On-site Calibration of Measurement Noise in Vibration-based Structural Health Monitoring System Based on Least Square Method
Calibrating the noise level is an essential step in the design of vibration-based structural health monitoring(SHM)system.It is beneficial to the optimization of the test configuration and the later modal parameter identification.Based on the investigation of the overall data acquisition process,the main source and the stochastic characteristics of the measurement noise are analyzed.Based on the least squares method,an n-channel method is developed for the channel hard-ware noise quantification and a strategy is proposed to quantify the synchronization error.The former allows one to estimate the noise with an arbitrary number of sensors,utilize the information from all channels and thus yield more robust estima-tion;the latter allows one to realize the estimation of synchronization error of sub-milliseconds by using the ratio of the cross-power spectrum density based on the frequency-domain representation of signals with time lag.The correctness,ro-bustness,and feasibility of the proposed methods are verified in a practical SHM project.

vibration and wavestructural health monitoringvibration sensorsmeasurement noisesynchronization errorleast squares estimation

李宾宾、朱伟、谢炎龙、朱作

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浙江大学 浙江大学伊利诺伊大学厄巴纳香槟校区联合学院,浙江 海宁 314400

浙江大学 建筑工程学院,杭州 310058

深圳大学 土木与交通工程学院,广东 深圳 518060

南洋理工大学 土木与环境工程学院,新加坡 639798

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振动与波 结构健康监测 拾振器 测量噪声 同步误差 最小二乘法

国家自然科学基金资助项目(青年项目)国家重点研发计划资助项目深圳市科技计划资助项目深圳市科技计划资助项目

519084942019YFB2102702JCYJ20220818095608018JSGG20210802093207022

2024

10.3969/j.issn.1006-1355.2024.04.017

噪声与振动控制
中国声学学会

噪声与振动控制

CSTPCD北大核心
影响因子：0.622
ISSN：1006-1355
年,卷(期)：2024.44(4)
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