Next Article in Journal
Joint Acquisition Estimator of Modern GNSS Tiered Signals Using Block Pre-Correlation Processing of Secondary Code
Previous Article in Journal
Nextmed: Automatic Imaging Segmentation, 3D Reconstruction, and 3D Model Visualization Platform Using Augmented and Virtual Reality
Open AccessArticle

Phase Synchrony Analysis of Rolling Bearing Vibrations and Its Application to Failure Identification

School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an 710049, China
Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi’an Jiaotong University, Xi’an 710049, China
Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool L69 3GJ, UK
Author to whom correspondence should be addressed.
Sensors 2020, 20(10), 2964;
Received: 13 April 2020 / Revised: 12 May 2020 / Accepted: 21 May 2020 / Published: 23 May 2020
(This article belongs to the Section Fault Diagnosis & Sensors)
As the failure-induced component (FIC) in the vibration signals of bearings transmits through housings and shafts, potential phase synchronization is excited among multichannel signals. As phase synchrony analysis (PSA) does not involve the chaotic behavior of signals, it is suitable for characterizing the operating state of bearings considering complicated vibration signals. Therefore, a novel PSA method was developed to identify and track the failure evolution of bearings. First, resonance demodulation and variational mode decomposition (VMD) were combined to extract the mono-component or band-limited FIC from signals. Then, the instantaneous phase of the FIC was analytically solved using Hilbert transformation. The generalized phase difference (GPD) was used to quantify the relationship between FICs extracted from different vibration signals. The entropy of the GPD was regarded as the indicator for quantifying failure evolution. The proposed method was applied to the vibration signals obtained from an accelerated failure experiment and a natural failure experiment. Results showed that phase synchronization in bearing failure evolution was detected and evaluated effectively. Despite the chaotic behavior of the signals, the phase synchronization indicator could identify bearing failure during the initial stage in a robust manner. View Full-Text
Keywords: phase synchrony; vibration signal; failure identification; bearing phase synchrony; vibration signal; failure identification; bearing
Show Figures

Graphical abstract

MDPI and ACS Style

Zhang, Q.; Jiang, T.; Yan, J.D. Phase Synchrony Analysis of Rolling Bearing Vibrations and Its Application to Failure Identification. Sensors 2020, 20, 2964.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

Search more from Scilit
Back to TopTop