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复杂机械结构非线性运行特征分析
引用本文:熊晓燕,庞晓丽,陈冬冰.复杂机械结构非线性运行特征分析[J].振动.测试与诊断,2011,31(2):237-240.
作者姓名:熊晓燕  庞晓丽  陈冬冰
作者单位:1. 太原理工大学机械电子工程研究所,太原,030024
2. 专利审查协作中心,北京,100190
基金项目:国家自然科学基金,山西省高校优秀青年学术带头人支持计划资助项目
摘    要:提出一种适用于工程实测ICP振动加速度计信号的积分方法,该方法可由振动加速度信号得到较精确的振动速度和位移信号,实现了基于振动信号的相空间分析,有效识别了复杂机械结构的非线性时域运行特征.为了解复杂机械结构的非线性频域运行特征,还提出一种基于神经网络辨识模型的频域分析方法,该方法可用于大型振动筛的非线性运行特征分析.

关 键 词:机械结构  非线性  积分  神经网络辨识模型  运行特征

Analysis on Nonlinear Operating Characteristic of Complex Mechanical Structures
Xiong Xiaoyan,Pang Xiaoli,Chen Dongbing.Analysis on Nonlinear Operating Characteristic of Complex Mechanical Structures[J].Journal of Vibration,Measurement & Diagnosis,2011,31(2):237-240.
Authors:Xiong Xiaoyan  Pang Xiaoli  Chen Dongbing
Affiliation:Xiong Xiaoyan1,Pang Xiaoli1,Chen Dongbing2 (1Institute of Mechatronics Engineering,Taiyuan University of Technology Taiyuan,030024,China) (2Patent Examination Cooperation Center Beijing,100190,China)
Abstract:An integration method was used for ICP vibration accelerometer signals measured in engineering.By using the method,more precise vibration signals of speeds and displacements are obtained and then the phase space analysis using vibration signals is realized,and the nonlinear time-domain operating features of complex mechanical structures are identified.In order to understand the operating features in nonlinear frequency domain of complex mechanical structures,a frequency domain analysis method is proposed ba...
Keywords:mechanical structure nonlinearity integration neural network identification model operating feature  
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