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作者:

Zhang, Kun (Zhang, Kun.) | Ma, Chao-Yong (Ma, Chao-Yong.) | Xu, Yong-Gang (Xu, Yong-Gang.) | Zhang, Jian-Yu (Zhang, Jian-Yu.) | Fu, Sheng (Fu, Sheng.)

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摘要:

Local Mean Decomposition (LMD) has been widely used in signal processing and fault diagnosis of mechanical equipment, but there are still some issues that need to be improved, such as endpoint effects, mode mixing, and so on. This study proposes a novel method called Fast and Adaptive Local Mean Decomposition(FALMD), which can decompose the signal into some product function components(PF)and a residual component, just like LMD. This method changes the termination criterion, and the speed of operation is accelerated; order statistics filters are used to weaken the endpoint effect. Using this method, the simulation and experimental signal can be decomposed quickly, effectively and accurately. This method can be applied to the fault diagnosis of bearing. © 2020, Nanjing Univ. of Aeronautics an Astronautics. All right reserved.

关键词:

Failure analysis Fault detection Roller bearings Signal processing

作者机构:

  • [ 1 ] [Zhang, Kun]Key Laboratory of Advanced Manufacturing Technology, The College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 2 ] [Ma, Chao-Yong]Key Laboratory of Advanced Manufacturing Technology, The College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 3 ] [Xu, Yong-Gang]Key Laboratory of Advanced Manufacturing Technology, The College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 4 ] [Zhang, Jian-Yu]Key Laboratory of Advanced Manufacturing Technology, The College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing; 100124, China
  • [ 5 ] [Fu, Sheng]Key Laboratory of Advanced Manufacturing Technology, The College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing; 100124, China

通讯作者信息:

  • [ma, chao-yong]key laboratory of advanced manufacturing technology, the college of mechanical engineering and applied electronics technology, beijing university of technology, beijing; 100124, china

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来源 :

Journal of Vibration Engineering

ISSN: 1004-4523

年份: 2020

期: 1

卷: 33

页码: 206-212

被引次数:

WoS核心集被引频次: 0

SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

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