试验模态分析的时域识别方法的一种，可以识别出信号的模态参数，固有频率阻尼比振型系数，-Experimental modal analysis of a time-domain identification method that can identify the signal modal parameters, natural frequency mode of vibration damping ratio coefficient,

对最小二乘支持向量机的核函数进行参数优化，最后得到分类更加准确的分类器-For least squares support vector machine (SVM) kernel function parameter optimization, finally get a more accurate classification of classifier

利用粒子群优化算法优化支持向量机的惩罚参数Cg，提高效率、准确率。-Particle swarm optimization algorithm to optimize SVM penalty parameter Cg, improve efficiency and accuracy.