首页 | 本学科首页   官方微博 | 高级检索  
     

利用时序分析方法识别模态参数的研究
引用本文:李川奇 张培强. 利用时序分析方法识别模态参数的研究[J]. 中国科学技术大学学报, 1989, 19(1): 80-91
作者姓名:李川奇 张培强
作者单位:中国科学技术大学精密机械和精密仪器系(李川奇,张培强),中国科学技术大学精密机械和精密仪器系(杨前进)
摘    要:本文对时间序列分析方法识别模态参数进行了研究。重点介绍了ARMA和ARMAV模型识别模态参数的原理,并用大量模拟实验检验了两种模型在分离模态、不同信噪比、大阻尼、密集模态等复杂情况下识别模态参数的能力,从结果可以看出ARMAV模型是一种有效的识别方法。

关 键 词:时间序列分析  模态参数识别

Identification of Modal Parameters by Using Time Series Analysis
Li Chuanqi,Zhang Peiqing,Yang Qianjin Dept. of Precision Machinery and Instrumentation Dept. of Modern Mechanics Dept. of Precision Machinery and Instrumentation. Identification of Modal Parameters by Using Time Series Analysis[J]. Journal of University of Science and Technology of China, 1989, 19(1): 80-91
Authors:Li Chuanqi  Zhang Peiqing  Yang Qianjin Dept. of Precision Machinery  Instrumentation Dept. of Modern Mechanics Dept. of Precision Machinery  Instrumentation
Affiliation:Li Chuanqi;Zhang Peiqing;Yang Qianjin Dept. of Precision Machinery and Instrumentation Dept. of Modern Mechanics Dept. of Precision Machinery and Instrumentation
Abstract:The identification of modal parameters by using time series analysis istudied in this paper. The principle of identification of modal parameters byARMA and ARMAV models is introduced, the abilities identifying modalparameters in seperate modes, different SNR, high damping, close modes byusing simulated experiments are checked, the conclusion is that the ARMAVmodel is an efficient method identifying modal parameters.
Keywords:time series analysis  identification of modal parameters
本文献已被 CNKI 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号