基于经验模态分解法和时域幅值参数识别结构损伤程度

详细信息

Identifying the Damage Degree of Structure Based on Empirical Mode Decomposition and Parameters in Time Domain Amplitude

摘要: 介绍了经验模态分解法EMD和传统时域幅值5种参数的定义。对某一简支梁模型，利用振动系统采集振动响应信号，应用EMD和时域幅值参数相结合的方法，很好地判别了简支梁的损伤位置。在不同损伤程度的情况下，通过EMD分解，计算各时域幅值参数的变化率，从而较好地识别出了损伤的程度。损伤程度的识别中，脉冲指标效果最好，其次为裕度指标和峭度指标。
- 经验模态分解 /
- 时域幅值参数 /
- 损伤位置 /
- 损伤程度
Abstract: The conception of Empirical Mode Decomposition (EMD) and five parameters in the traditional time-domain-amplitude are introduced simply in this paper. Response signal of a simply supported beam model is collected by vibrating system, and the data are analyzed by combining EMD with parameters in time domain amplitude, so the damage location is identified well. In different situations of damage, parameters in time -domain-amplitude are accounted by EMD, the damage degree is identified. In the course of identification, impulse factor is the best of all, clearance factor and kurtosis value is worse than it.
- Empirical mode decomposition /
- Parameters in time-domain-amplitude /
- Damage location /
- Damage degree

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