Automatic fault feature extraction of mechanical anomaly on induction motor bearing using ensemble super-wavelet transform

著录项

• 来源
  《Mechanical systems and signal processing》 |2015年第3期|457-480|共24页
• 作者

  Wangpeng He; Yanyang Zi; Binqiang Chen; Feng Wu; Zhengjia He;

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• 作者单位

  School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, P.R. China,State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, P.R. China;

  School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, P.R. China,State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, P.R. China;

  School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, P.R. China,School of Physics and Mechanical & Electrical Engineering, Xiamen University, Xiamen 361005, Fujian, P.R. China;

  School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, P.R. China,State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, P.R. China;

  School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, P.R. China,State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an 710049, P.R. China;

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• 收录信息
• 原文格式 PDF
• 正文语种 eng
• 中图分类
• 关键词

  Induction motor; Feature extraction; Bearing fault diagnosis; Super-wavelet transform; Q-factor;

  机译：感应电动机特征提取;轴承故障诊断;超小波变换Q因子;