modal parameters identification method 模态参数辨识方法
In this paper, application problems of wavelet theory are investigated, such as signal de-noising, fault feature extraction, modal parameters identification and intelligent fault diagnosis. The main research works are as follows:(1)The basic theories about wavelet transform are introduced.
本文着重研究了小波理论在信号降噪、故障特征提取、模态参数识别和智能故障诊断中的应用问题，主要工作和研究成果归纳如下： (1) 介绍了小波变换的基本理论，讨论了小波变换的边界效应问题，并比较了目前已有的各种边界延拓方法的优缺点。
参考来源 - 基于小波理论的非平稳信号特征提取与智能诊断方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
This paper studied the linear structure system modal parameters identification based on Genetic Algorithms.
本文系统地研究了基于遗传算法的线性结构系统模态参数识别方法。
Focusing on this problem, a modal parameters identification algorithm based on left matrix fraction description of FRF was proposed.
针对该问题，提出一种基于频响函数左矩阵分式模型的模态参数识别方法。
The identification results have indicated that the proposed method is an effective tool for modal parameters identification of time-variant linear system.
实验结果和理论计算结果比较表明：该方法为参数时变线性系统的模态参数辨识提供一条新途径。
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