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作 者:董永 刘怡明 王明明 孙晓云 DONG Yong;LIU Yiming;WANG Mingming;SUN Xiaoyun(School of Electrical Electronic Engineering,Shijiazhuang Tiedao University,Shijiazhuang 050043,China;No.2 Middle School of Shijiazhuang,Shijiazhuang 050000,China)
机构地区:[1]石家庄铁道大学电气与电子工程学院,河北石家庄050043 [2]石家庄市第二中学,河北石家庄050000
出 处:《济南大学学报(自然科学版)》2018年第6期476-481,共6页Journal of University of Jinan(Science and Technology)
基 金:国家自然科学基金项目(51674169)
摘 要:为了提高纤维增强塑料(FRP)锚杆的缺陷检测精度,将磁致伸缩检测技术应用于FRP锚杆检测,通过镍带与FRP锚杆耦合的方式激发并接收磁致伸缩导波信号;为了解决磁致伸缩导波信号信噪比低、特征不明显的问题,利用变分模态分解(VMD)算法将信号分解为多个模态信号,对各层多模态信号进行滤波后重构,再通过最小均方误差估计(MMSE)增强算法提高信号信噪比。结果表明:经变分模态分解-最小均方误差估计(VMD-MMSE)算法处理后,可提升FRP锚杆反射回波信号的信噪比和信号特征;磁致伸缩导波检测技术可应用于FRP锚杆质量检测,可对有周向缺陷的FRP锚杆长度、缺陷位置进行精确判断。To improve the defect detection precision of fiber reinforced plastic(FRP)bolt,the magnetostrictive detection technology was applied to the detection of FRP bolt.Magnetostrictive guided wave signals were excited and received by coupling of nickel band and FRP bolt.To solve the problem of the signal to noise ratio of the magnetostrictive guided wave signal being low and characteristics being not obvious,the signal was decomposed into multiple modal signals by using the variational mode decomposition(VMD)algorithm.The multimodal signals of each layer were reconstructed after filtering.The signal to noise ratio was enhanced by using the minimum mean square error(MMSE)estimator enhancement algorithm.The results show that the signal to noise ratio and signal characteristics of the reflected echo signal of the FRP bolt can be improved by using the variational mode decomposition-minimum mean square error(VMD-MMSE)algorithm.The magnetostrictive guided wave technique can be applied to the detection of FRP bolt,and it can accurately judge the length of FRP bolt and position of circumferential defect.
关 键 词:纤维增强塑料锚杆 磁致伸缩导波 变分模态分解-最小均方误差估计 缺陷检测
分 类 号:TM933[电气工程—电力电子与电力传动]
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