Vibration feature extraction based on the improved variational mode decomposition and singular spectrum analysis combination algorithm
Vibration feature extraction based on the improved variational mode decomposition and singular spectrum analysis combination algorithm
复制标题
基于改进变分模态分解与奇异谱分析组合算法的振动特征提取
DOI：
10.1177/1369433218818921
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发表时间：
2019-05
影响因子：
2.6
通讯作者：
Bo Chen
中科院分区：
文献类型：
--
作者：
Hui Li;Tengfei Bao;Chongshi Gu;Bo Chen
强背景噪声影响下泄洪建筑物振动特征的提取是基于振动的损伤识别的主要挑战之一。针对变分模式分解算法滤除高频噪声的不足，提出了归一化中心频率差谱算法。为了消除端点效应带来的误差，采用波形匹配延拓算法对变分模式分解进行进一步改进。然而，振动信号仍然耦合在低频噪声中。在此基础上，应用奇异谱分析算法滤除低频噪声。本文利用该算法对一个大坝模型的仿真信号和实测信号进行了分析。实验结果表明，该算法对噪声具有较强的鲁棒性，去噪精度较高。此外，该算法可为泄洪建筑物的损伤识别和定位提供线索。
Extraction of the vibration characteristics of a flood discharge structure under the influence of intensive background noise is one of the main challenges in vibration-based damage identification. A novel algorithm called normalized central frequency difference spectrum is proposed to improve the variational mode decomposition algorithm for high-frequency noise filtering. To eliminate the errors caused by end effect, the waveform matching extension algorithm is used to further improve the variational mode decomposition. However, the vibration signal is still coupled in low-frequency noise. Thereupon, the singular spectrum analysis algorithm is applied to filter the low-frequency noise. In this article, a simulated signal and the measured signals from a dam model are analyzed by the proposed algorithm. The results indicate that the proposed algorithm is robust to noise and has high denoising precision. In addition, this algorithm can offer clues for damage identification and localization of a flood discharge structure.
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影响因子：
2.8
作者：
Yatong Zhou;Shuhua Li;Dong Zhang;Yangkang Chen
通讯作者：
Yatong Zhou;Shuhua Li;Dong Zhang;Yangkang Chen
影响因子：
8.4
作者：
Muruganatham, Bubathi;Sanjith, M. A.;Murty, S. A. V. Satya
通讯作者：
Murty, S. A. V. Satya
影响因子：
3.3
作者：
Dong Zhang;Yatong Zhou;Hanming Chen;Wei Chen;S. Zu;Yangkang Chen
通讯作者：
Dong Zhang;Yatong Zhou;Hanming Chen;Wei Chen;S. Zu;Yangkang Chen
影响因子：
3.3
作者：
Yangkang Chen;Sergey Fomel
通讯作者：
Yangkang Chen;Sergey Fomel
DOI：
--
发表时间：
2016
期刊：
--
影响因子：
--
作者：
Lena Osterhagen
通讯作者：
Lena Osterhagen