In recent years, the methods of integrity monitoring of civil structures and mechanical ones, such as damage detection, fatigue analysis and risk-based management structures, have been receiving considerable interest from various fields of science and engineering. This work uses a mathematical tool for calculation and for a relatively new signal processing, in which uses a time-frequency analysis that provides more detailed information about non-stationary signals. We are talking about the Wavelet Transform. First, the Continuous Wavelet Transform is used to identify the modal parameters such as natural frequencies and damping rates, of a linear structure with four degrees of freedom. After that, this method is tested on a non-linear structure that represents a 20 floor building, proposed in the literature. A theoretical explanation of the methodology and an example of a simple application are also presented in order to understand the efficiency of the technique in the identification of modal parameters of structures.

中文翻译：

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基于小波变换的基于输出的线性和非线性结构模态参数识别

近年来，对土木结构和机械结构进行完整性监控的方法，例如损坏检测，疲劳分析和基于风险的管理结构，已引起了科学和工程学各个领域的极大关注。这项工作使用数学工具进行计算和相对较新的信号处理，其中使用时频分析来提供有关非平稳信号的更多详细信息。我们正在谈论小波变换。首先，连续小波变换用于识别具有四个自由度的线性结构的模态参数，例如固有频率和阻尼率。此后，对该方法在代表20层建筑物的非线性结构上进行了测试（文献中提出）。