频谱特征提取方法结合了艾伦方差,VMD和PSD
1School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, 102616, China. liuxucrystal@163.com.
Scientific reports
|May 14, 2024
概括
这项研究引入了一种结合艾伦变量,变量模式分解 (VMD) 和功率光谱密度 (PSD) 的新方法,以准确地提取地震振动频率用于结构分析.
科学领域:
- 地质物理学 地质物理学
- 结构工程 结构工程
- 信号处理 信号处理
背景情况:
- 准确的地震事件识别和结构响应计算取决于频谱特征提取.
- 目前使用变量模式分解 (VMD) 的方法缺乏有效的模式组件识别的明确标准,导致不准确.
- 现有的技术在精确的频谱特征提取中扎,以进行地震分析.
研究的目的:
- 开发一种用于地震分析的新且准确的频谱特征提取方法.
- 改进地震数据中有效的模式组件的识别.
- 加强对地震负荷的结构反应的评估,特别是对遗产结构的评估.
主要方法:
- 利用变化模式分解 (VMD) 来过噪声,并增强三轴加速度计数据中的有效信号.
- 使用功率光谱密度 (PSD) 来从三轴加速度计观测中提取地震频率.
- 应用了艾伦方法来识别最可靠的加速度计数据来确定地震刺激振动频率.
主要成果:
- 通过使用VMD.成功过噪音并提取相关的地震信号.
- 从三轴加速度计数据中识别出不同的地震频率组 (26.95 Hz,12.89 Hz,12.5 Hz).
- 通过分析北京的MW 2.6微地震事件,准确提取频谱特征,验证了该方法的有效性.
结论:
- 拟议的联合方法 (艾伦变异,VMD,PSD) 提供了一种可靠的方法,用于在地震分析中提取频谱特征.
- 精确地提取地震振动频率对于评估像长城这样的遗产遗址的结构反应至关重要.
- 这种方法对保护和保护文化遗产免受地震危害有重大影响.
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