.Fault Feature Extraction Method of Large Rotating Machinery

摘要：

　　Working condition of large rotating machine is varying.The collected vibration signals contain fault information as well as non-fault information, like load change and noise.The traditional fault feature extraction method which based on energy changing has certain limitations; therefore, new fault feature extraction method based on Fast ICA will be researched.Separating independent signals from blind signals by adopting Independent Component Analysis(ICA), purifying fault information and suppressing interference information; and the lifting wavelet packet is used for acquiring time frequency domain feature band from signals, so as to solve the difficulty that the fault information of the variable working condition rotating machine is always submerged by irregular working condition changing information such that effective fault prediction is hard to carry out.

关键词： Feature extraction Fast ICA Lifting wave packet Rotating machine

作者: Zhanglei Jiang Xiaoli Xu Peng Chen

作者单位: School of Mechanical and Vehicle Engineering,Beijing Institute of Technology,Beijing 100081,china School of Mechanical and Vehicle Engineering,Beijing Institute of Technology,Beijing 100081,china;Ke Department of Environmental Science and Engineering,Faculty of Bioresources Mie University,Tsu-shi,M

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: 756-759

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）