基于谐波窗函数的桥梁振动信号分解与重构

叶飞,吴加权,张馨予,肖驰,马琨

振动与冲击 ›› 2018, Vol. 37 ›› Issue (16) : 234-240.

PDF(1240 KB)
PDF(1240 KB)
振动与冲击 ›› 2018, Vol. 37 ›› Issue (16) : 234-240.
论文

基于谐波窗函数的桥梁振动信号分解与重构

  • 叶飞,吴加权,张馨予,肖驰,马琨
作者信息 +

Decomposition and reconstruction of bridge vibration signals based on the harmonic window function

  • YE Fei, WU Jiaquan, ZHANG Xinyu, XIAO Chi, MA Kun
Author information +
文章历史 +

摘要

针对桥梁损伤检测过程中需要对原始振动信号中各阶次模态信号进行提取的需求,提出了一种利用自定义谐波窗函数进行信号提取方法。阐述了谐波窗函数的构建方法及信号提取时的分解与重构过程。对一钢筋混凝土梁的实测振动信号进行了分解与重构,提取了梁的五阶振动信号。实验结果表明,设计的谐波窗函数可以实现信号频段的自由划分;提取的信号具有无数据量损失、无相移、信号失真小等特点;可在信号提取的同时,实现噪声滤除。

Abstract

Extraction of various order signals from the original beam vibration response signals is required in bridge damage detection.In this paper, a new method of signal extraction based on custom harmonic window function was proposed.The definition of custom harmonic window function and the process of decomposition and reconstruction were demonstrated.Five order vibration signals were extracted after decomposing and reconstructing the original vibration response signals of reinforced concrete beams.The results indicated that the custom harmonic window function could be used to achieve the free division of the signal frequency band.The extracted signal had no data loss, phase shift, or small signal distortion, and the noise was filtered simultaneously during signal extraction.

关键词

谐波窗函数 / 小波变换 / 损伤检测 / 信号提取

Key words

 harmonic window function / wavelet transform / damage detection / signal extraction

引用本文

导出引用
叶飞,吴加权,张馨予,肖驰,马琨. 基于谐波窗函数的桥梁振动信号分解与重构[J]. 振动与冲击, 2018, 37(16): 234-240
YE Fei, WU Jiaquan, ZHANG Xinyu, XIAO Chi, MA Kun. Decomposition and reconstruction of bridge vibration signals based on the harmonic window function[J]. Journal of Vibration and Shock, 2018, 37(16): 234-240

参考文献

[1]  马宏伟, 聂振华, 桥梁安全监测最新研究进展与思考[J], 力学与实践, 2015, (02): 161-170+181.
    MA Hongwei, NIE Zhenhua, Recent advances and review of bridge safety montitoring[J], Mechanics in Engineering, 2015,(02):161-170+181.
[2]  E. P. Carden, P. Fanning, Vibration based condition monitoring: a review[J], Struct. Health Monit. 2004, 3 (4): 355–377.
[3]  W. Fan, P. Qiao, Vibration-based damage identification methods: a review and comparative study[J], Struct. Health Monit. 2011, 10 (1): 83–111.
[4]  Doebling S W, Farrar C R, Prime M B, et al. Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: a literature review[J]. 1996.
[5]  A. Messina, E. Williams, T. Contursi, Structural damage detection by a sensitivity and statistical-based method[J], Journal of Sound Vibration. 1998, 216 (5): 791–808.
[6]  V. Pakrashi, A. O’Connor, B. Basu, A study on the effects of damage models and wavelet bases for damage identification and calibration in beams[J], Comput.-Aided Civ. Infrastruct. Eng. 2007, 22 (8): 555–569.
[7]  C. Hu, M.T. Afzal, A statistical algorithm for comparing mode shapes of vibration testing before and after damage in timbers[J], Journal of Wood Science. 2006, 52 (4): 348–352.
[8]  郭惠勇,盛懋. 基于模态应变能的不同损伤指标对比[J]. 河海大学学报(自然科学版), 2014, (05):444-450.
    GUO Huiyong, SHENG Mao, Comparsion of different damage indices based on modal strain energy[J], Journal of Hohai University (Natural Sciences),2014, (05),: 444-450.
[9]  Bayissa W L,Haritos N., Damage identification in plate—like structures using bending moment response power spectral.density[J], Structural Health Monitoringan International Journal,2007, (6):5-24
[10] 余竹, 夏禾, 殷永高, 孙敦华, 基于小波变换与Lipschitz指数的桥梁损伤识别研究[J], 振动与冲击,2015, (34): 65-69.
    YU Zhu,XIA He,YIN Yonggao, et al. Bridge damage identification based on wavelet transform and Lipschitz exponent[J], Journal of Vibration and Shock,  2015, (34): 65-69.
[11] 孙增寿, 韩建刚, 任伟新, 基于曲率模态和小波变换的结构损伤位置识别[J], 地震工程与工程振动, 2005, 25(4): 44-49.
     SUN Zengshou, HAN Jiangang, REN Weixin, Damage location identification of structures based on curvature mode and wavelet transform[J], Earthquake engineering and engineering vibration, 2005, 25, (4): 44-49.
[12] 刘习军,相林杰,张素侠, 基于小波分析的简支梁桥损伤识别[J], 振动、测试与诊断, 2015, 35(5 ): 866-872.
LIU Xijun, XIANG Linjie, ZHANG Suxia, Damage identification of simply supported beam bridges based on wavelet analysis[J], Jorunal of Vibration,Measurement &Diagnosis, 2015, 35(5), 866-872.
[13] J. Han, P. Zheng, H. Wang, Structural modal parameter identification and damage diagnosis based on Hilbert-Huang transform[J], Earthquake Engineering and Engineering Vibration, 2014, (13): 101-111.
[14] K. Zhang, X. Yan, Multi-cracks identification method for cantilever beam structure with variable cross-sections based on measured natural frequency changes[J], Journal of Sound and Vibration, 2017, (387): 53-65.
[15] D. Hester, A. González, A discussion on the merits and limitations of using drive-by monitoring to detect localised damage in a bridge[J], Mechanical Systems and Signal Processing, 2017, (90): 234-253.
[16] Newland D E. Wavelet analysis of vibration, Part 1: Theory[J]. Transactions of the ASME-L-Journal of Vibration and Acoustics, 1994, 116(4): 409-416.
[17] Newland D E. Wavelet analysis of vibration, Part 1: Theory[J]. Transactions of the ASME-L-Journal of Vibration and Acoustics, 1994, 116(4): 417-425.

PDF(1240 KB)

Accesses

Citation

Detail

段落导航
相关文章

/