Effect of Multiple Factors on Identification and Diagnosis of Skidding Damage in Rolling Bearings under Time-Varying Slip Conditions
Open Access
- 27 July 2019
- journal article
- research article
- Published by MDPI AG in Applied Sciences
- Vol. 9 (15), 3033
- https://doi.org/10.3390/app9153033
Abstract
Skidding damage mechanism of rolling bearings is not clear, due to the influence of various coupling factors. To solve this problem, it is important to identify and diagnose skidding damage and study the vibration characteristics in rolling bearings. Based on Fast Fourier Transform (FFT) and Discrete Wavelet Transform (DWT), vibration signals of rolling bearings are extracted and analyzed, and then the skidding damage of rolling bearings from multiple signals perspectives is identified. The relationship between the variation in the radial load, temperature, slip and the skidding damage of rolling bearings under time-varying slip conditions is analyzed comprehensively, and then the influence of different factors on bearing skidding damage is studied. The integrated analysis of the vibration, load, temperature, slip rate and other multivariate signals information shows the starting time of skidding damage. This research can be conducive to reduce vibration and prolong the life of rolling bearings.Keywords
Funding Information
- The Program of State Key Laboratory of Mechanical Transmissions (SKLMT-KFKT-201808, 2017KJXX-58)
- National Natural Science Foundation of China (51505361)
This publication has 14 references indexed in Scilit:
- Reviews of bearing vibration measurement using fast Fourier transform and enhanced fast Fourier transform algorithmsAdvances in Mechanical Engineering, 2019
- Probabilistic Risk-Based Performance Evaluation of Seismically Base-Isolated Steel Structures Subjected to Far-Field EarthquakesBuildings, 2018
- Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a reviewThe International Journal of Advanced Manufacturing Technology, 2018
- Rolling bearing fault diagnosis based on time-delayed feedback monostable stochastic resonance and adaptive minimum entropy deconvolutionJournal of Sound and Vibration, 2017
- A Comparative Study of Various Methods of Bearing Faults Diagnosis Using the Case Western Reserve University DataJournal of Failure Analysis and Prevention, 2016
- Using multi-sensor data fusion for vibration fault diagnosis of rolling element bearings by accelerometer and load cellInformation Fusion, 2014
- Experimental study on skid damage of cylindrical roller bearing considering thermal effectProceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, 2014
- Fault diagnosis and prognosis using wavelet packet decomposition, Fourier transform and artificial neural networkJournal of Intelligent Manufacturing, 2012
- Experimental diagnostics of ball bearings using statistical and spectral methodsTribology International, 2009
- Condition Monitoring and Fault Diagnosis of Electrical Motors—A ReviewIEEE Transactions on Energy Conversion, 2005