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New fault diagnosis approaches for detecting the bearing slight degradation

  • Saeed Nezamivand CheginiEmail author
  • Mohammad Javad Haghdoust Manjili
  • Ahmad Bagheri


In this paper, two new methods for detecting the bearing’s degradation starting points are presented based on the vibration signal analysis. In the first method, a new feature extraction technique is suggested based on the envelope harmonic-to-noise ratio (EHNR) and the fast ensemble empirical mode decomposition (FEEMD). Each vibration signal is decomposed into its intrinsic mode functions (IMFs) using the FEEMD algorithm. Also, a novel technique has been introduced based on the autocorrelation function (ACF) of the original signal and its IMFs for selecting the most appropriate IMF and eliminate the noisy components. Then, the EHNR of the most sensitive IMF is computed for detecting the early degradation of bearing. In the second method, a new adaptive feature is defined using the ACF of the raw signal and the energy-entropy vector. At first, a novel indicator called the periodicity intensity factor (PIF) is introduced using the energy of the ACF of the raw signal and its maximum points. In the next step, the energy-entropy variations of the PIF factor are investigated for recognizing the fault starting point in bearings. In this work, the vibration signals of the run-to-failure experiment are used to appraise the presented techniques. The results indicate that the proposed approaches are able to detect the exact moment of the defect occurrence. Also, comparing the results of this paper with other techniques presented recently indicates the superiority of the proposed approaches.


Incipient fault detection Bearing Empirical mode decomposition (EMD) Envelope harmonic-to-noise ratio (EHNR) Auto-correlation function (ACF) Periodicity intensity factor (PIF) 


Authors’ contribution

SNC and MJHM designed and coordinated the study. SNC wrote the manuscript. SNC and AB reviewed the manuscript and contributed to its revision. All the authors discussed the results and gave their final approved for publication.


This study was financially supported by the University of Guilan to S.N.C. The funder had no role in study design, data collection, and analysis, decision to publish or preparation of the manuscript.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no competing interests.


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Copyright information

© Springer Nature B.V. 2020

Authors and Affiliations

  1. 1.Department of Dynamics, Control, and Vibrations, Faculty of Mechanical EngineeringUniversity of GuilanRashtIran
  2. 2.Department of Mechanical EngineeringAhrar Institute of Technology and Higher EducationRashtIran

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