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Hilbert-Huang transform and marginal spectrum for detection and diagnosis of localized defects in roller bearings

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Abstract

This work presents the application of a new signal processing technique, the Hilbert-Huang transform and its marginal spectrum, in analysis of vibration signals and fault diagnosis of roller bearings. The empirical mode decomposition (EMD), Hilbert-Huang transform (HHT) and marginal spectrum are introduced. First, the vibration signals are separated into several intrinsic mode functions (IMFs) by using EMD. Then the marginal spectrum of each IMF can be obtained. According to the marginal spectrum, the localized fault in a roller bearing can be detected and fault patterns can be identified. The experimental results show that the proposed method may provide not only an increase in the spectral resolution but also reliability for the fault detection and diagnosis of roller bearings.

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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 Seong-Wook Hong

Hui Li received his B.S. degree in mechanical engineering from the Hebei Polytechnic University, Hebei, China, in 1991. He received his M.S. degree in mechanical engineering from the Harbin University of Science and Technology, Hei-longjiang, China, in 1994. He re-ceived his PhD degree from the School of Mechanical Engineering of Tianjin University, Tianjin, China, in 2003. 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.

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Li, H., Zhang, Y. & Zheng, H. Hilbert-Huang transform and marginal spectrum for detection and diagnosis of localized defects in roller bearings. J Mech Sci Technol 23, 291–301 (2009). https://doi.org/10.1007/s12206-008-1110-5

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  • DOI: https://doi.org/10.1007/s12206-008-1110-5

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