摘要翻译：
拉拔试验是一种破坏性的检测方法，它不能测量螺栓的实际长度。因此，超声回波是螺栓质量检测的重要无损检测方法之一。本文将方差模态分解方法引入到螺栓检测信号分析中。在形态学滤波和VMD方法的基础上，将VMD结合形态学滤波原理建立到螺栓检测信号分析中。利用MF-VMD对仿真振动信号和实际螺栓检测信号进行了分析。结果表明，即使在强干扰背景下，MF-VMD也能有效地分离出本征模函数。与传统的VMD方法相比，该方法能够有效地去除噪声干扰。通过信号在锚杆底部的反射，可以有效地识别现场检测信号的本征模态函数。
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英文标题：
《A Novel Method of Bolt Detection Based on Variational Modal
  Decomposition》
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作者：
Juncai Xu and Qingwen Ren
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最新提交年份：
2017
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  The pull test is a destructive detection method, and it can t measure the actual length of the bolt. As such, ultrasonic echo is one of the most important non-destructive testing methods for bolt quality detection. In this paper, the variance modal decomposition method is introduced into the bolt detection signal analysis. Based on the morphological filtering and the VMD method, the VMD combined morphological filtering principle is established into the bolt detection signal analysis method. MF-VMD was used in order to analyze the simulation vibration signal and the actual bolt detection signal. The results showed that the MF-VMD is able to effectively separate the intrinsic mode function, even when under the background of strong interference. Compared with the conventional VMD method, the proposed method is able to remove the noise interference. The intrinsic mode function of the field detection signal can be effectively identified by the reflection of the signal at the bottom of the bolt.
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PDF链接：
https://arxiv.org/pdf/1711.04388