Application of Support Vector Machine in the Vibration Signal Measuring-Channel Modeling

摘要：

　　Measurement accuracy of rotor unbalance in different speeds is affected by the nonlinearity of the vibration signal processing channel.Support Vector regression (SVR) is proposed to use for channel modeling and compensation, which performance is far superior to the traditional look-up table method.First the amplitude-frequency and phase-frequency characteristics models based on SVM regression are made using frequency response data of standard signal passing to measuring-channel as training samples, then the measurement signal is compensated according to the model obtained.Simulation and experimental results show that this method has higher accuracy, better generalization ability than the traditional BP neural network modeling method.

关键词： Vibration Signal Support Vector Machine Neural Network

作者: Li Chuanjiang Zhang Ziqiang Feng Yingpeng Tom Qi

作者单位: College of Information,Mechanical & Electrical Engineering,Shanghai Normal University,Shanghai,China College of Information,Mechanical & Electrical Engineering,Shanghai Normal University,Shanghai,China School of Architecture Building and Engineering,Otago Polytechnic,New Zeraland

会议类型: 国际会议

会议名称: the 2012 International Conference on Vibration, Structural Engineering and Measurement (2012年振动、结构工程与测量国际会议(ICVSEM2012))

会议地点: 上海

会议语种:英文

页码: 267-270

在线出版日期: 2012-10-19（万方平台首次上网日期，不代表论文的发表时间）