Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment

著录项

• 来源
  《Mechanical systems and signal processing》 |2016年第5期|160-183|共24页
• 作者

  Jun Pan; Jinglong Chen; Yanyang Zi; Yueming Li; Zhengjia He;

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• 作者单位

  State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China;

  State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China;

  State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, China;

  State Key Laboratory for Strength and Vibration of Mechanical Structures, Xi'an Jiaotong University, Xi'an 710049, China;

  State Key Laboratory for Manufacturing and Systems Engineering, Xi'an Jiaotong University, Xi'an 710049, 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

  Mechanical fault diagnosis; Feature extraction; Empirical wavelet transform; Data-driven adaptive Fourier spectrum segment;

  机译：机械故障诊断;特征提取;经验小波变换数据驱动的自适应傅立叶频谱段;