| 刘迅,卓卫东,何肖斌,张培旭.结构运营模态参数识别的稀疏分量分析新方法*[J].,2024,43(5):1008-1016 |
| 结构运营模态参数识别的稀疏分量分析新方法* |
| A new method of sparse component analysis for structural operational modal parameter identification |
| 投稿时间：2023-05-14 修订日期：2024-09-01 |
| 中文摘要: |
| 结合时频掩码技术和模糊C均值聚类，提出一种结构运营模态参数识别新方法。该方法根据结构振动信号的能量信息建立时频掩码，通过时频掩码确定结构模态响应。采用单自由度模态参数识别技术从模态响应中获取模态频率和阻尼比。多峰值检测方法确定结构振动信号在频域中的能量峰值点。根据能量峰值点在频域中的位置，依次提取能量峰值点处时频系数。时频系数经单源点检测后用模糊C均值聚类对其聚类，将第一个聚类中心作为模态振型。通过数值案例和框架结构试验验证所提方法的适用性。结果表明，该方法具有良好的参数识别精度和鲁棒性。 |
| 英文摘要: |
| Combining time-frequency mask techniques with fuzzy C-means clustering, a new method for structural operational modal parameter identification is proposed. This method establishes a time-frequency mask based on the energy information of the structural vibration signal and determines the structural modal response through the time-frequency mask. Using the single-degree-of-freedom modal parameter identification technique, the modal frequency and damping ratio are obtained from the modal response. The multi-peak detection method identifies the energy peak points of the structural vibration signal in the frequency domain. Based on the positions of these energy peaks in the frequency domain, the time-frequency coefficients at these peak points are extracted in sequence. After the time-frequency coefficients undergo single-point detection, they are clustered using fuzzy C-means clustering, with the first clustering center taken as the modal shape. The applicability of the proposed method is verified through numerical examples and frame structure experiments. Results show that the method offers good parameter identification accuracy and robustness. |
| DOI：10.11684/j.issn.1000-310X.2024.05.010 |
| 中文关键词: 运营模态识别 盲源分离 稀疏分量分析 时频掩码 聚类方法 |
| 英文关键词: operational modal identification blind source separation SCA time-frequency mask clustering method |
| 基金项目:福建省引导性科技计划项目 |
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