%0 Journal Article
%T IITD算法在滑油管路模态参数辨识中的应用<br>Application of IITD algorithm in the Modal Parameter Identification of a Lubricant Oil Pipe
%A 边杰
%A 霍常青
%A 王平
%A 唐广
%J 郑州大学学报（工学版）
%D 2018
%X 将端点延拓引入本征时间尺度分解（ITD）中用于改进其端点效应，并将改进的ITD法（IITD）用于结构模态参数识别，提出了基于IITD的模态参数识别方法（IITD-MPI）。将IITD-MPI用于位移仿真信号和滑油管路测频信号的模态参数识别研究。研究结果表明，对于位移仿真信号而言，与理论值相比IITD-MPI法辨识的模态固有频率最大误差小于0.6%，阻尼比最大误差为1%。对于滑油管路测频信号而言，IITD-MPI法辨识的模态固有频率与测试模态频率相比，差别在0.15%以内，其辨识的阻尼比与半功率带宽法识别的阻尼比差别不大于3%。由此，验证了本文的IITD-MPI法的有效性和实用性。<br>Endpoint extension was introduced into intrinsic time-scale decomposition (ITD) method to improve its endpoint effect. Then, the improved ITD method (IITD) was employed to structural modal parameter identification and method of modal parameter identification based on the IITD method (IITD-MPI) was proposed. The IITD-MPI was used in the modal parameter identification of a displacement simulation signal and the frequency testing signal of a lubricant oil pipe. The research results demonstrated that for the displacement simulation signal, compared with the theoretical values, the maximum error of the modal frequencies identified by the IITD-MPI method was less than 0.6%, and the maximum error of the damping ratios was 1%. And for the frequency testing signal of the lubricant oil pipe, the differences between the modal frequencies identified through the IITD-MPI method and the test modal frequencies were within 0.15%, and the differences of the damping ratios identified using the proposed method and the half power bandwidth method were not greater than 3%. Thus, the results verified the effectiveness and practicality of the IITD-MPI method.
%U http://gxb.zzu.edu.cn/oa/darticle.aspx?type=view&id=201609008