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Bearing fault detection and diagnosis based on order tracking and Teager-Huang transform

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Abstract

The vibration signal of the run-up or run-down process is more complex than that of the stationary process. A novel approach to fault diagnosis of roller bearing under run-up condition based on order tracking and Teager-Huang transform (THT) is presented. This method is based on order tracking, empirical mode decomposition (EMD) and Teager Kaiser energy operator (TKEO) technique. The nonstationary vibration signals are transformed from the time domain transient signal to angle domain stationary one using order tracking. EMD can adaptively decompose the vibration signal into a series of zero mean amplitude modulation-frequency modulation (AM-FM) intrinsic mode functions (IMFs). TKEO can track the instantaneous amplitude and instantaneous frequency of the AM-FM component at any instant. Experimental examples are conducted to evaluate the effectiveness of the proposed approach. The experimental results provide strong evidence that the performance of the Teager-Huang transform approach is better to that of the Hilbert-Huang transform approach for bearing fault detection and diagnosis. The Teager-Huang transform has better resolution than that of Hilbert-Huang transform. Teager-Huang transform can effectively diagnose the faults of the bearing, thus providing a viable processing tool for gearbox defect monitoring.

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Authors and Affiliations

  1. Department of Electromechanical Engineering, Shijiazhuang Institute of Railway Technology, Shijiazhuang, 050041, P.R. China

    Hui Li & Yuping Zhang

  2. First Department, Shijiazhuang Mechanical Engineering College, Shijiazhuang, 050003, P.R. China

    Haiqi Zheng

Authors
  1. Hui Li
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  2. Yuping Zhang
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  3. Haiqi Zheng
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Corresponding author

Correspondence to Hui Li.

Additional information

This paper was recommended for publication in revised form by Associate Editor Hong Hee Yoo

Hui Li received his B.S. in Mechanical Engineering from the Hebei Polytechnic University, Hebei, China, in 1991. He received his M.S. in Mechanical Engineering from the Harbin University of Science and Technology, Heilongjiang, China, in 1994. He received his Ph.D from the School of Mechanical Engineering of Tianjin University, Tianjin, China, in 2003. He was a postdoctoral researcher in Shijiazhuang Mechanical Engineering College from August 2003 to September 2005, and in Beijing Jiaotong University from March 2006 to December 2008. He is currently a professor in Mechanical Engineering at Shijiazhuang Institute of Railway Technology, China. His research and teaching interests include hybrid driven mechanism, kinematics and dynamics of machinery, mechatronics, CAD/CAPP, signal processing for machine health monitoring, diagnosis and prognosis. He is currently a senior member of the Chinese Society of Mechanical Engineering.

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Li, H., Zhang, Y. & Zheng, H. Bearing fault detection and diagnosis based on order tracking and Teager-Huang transform. J Mech Sci Technol 24, 811–822 (2010). https://doi.org/10.1007/s12206-009-1211-9

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  • DOI: https://doi.org/10.1007/s12206-009-1211-9

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