Experimental application of vibrational resonance on bearing fault diagnosis
Published 2018 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Experimental application of vibrational resonance on bearing fault diagnosis
Authors
Keywords
Vibrational resonance, Bearing fault diagnosis, Bistable system, Noise
Journal
Journal of the Brazilian Society of Mechanical Sciences and Engineering
Volume 41, Issue 1, Pages -
Publisher
Springer Nature
Online
2018-11-29
DOI
10.1007/s40430-018-1502-0
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Realizing the empirical mode decomposition by the adaptive stochastic resonance in a new periodical model and its application in bearing fault diagnosis
- (2017) Jingling Zhang et al. Journal of Mechanical Science and Technology
- Improving the bearing fault diagnosis efficiency by the adaptive stochastic resonance in a new nonlinear system
- (2017) Xiaole Liu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- An improved adaptive stochastic resonance method for improving the efficiency of bearing faults diagnosis
- (2017) Dawen Huang et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
- Enhanced Bearing Fault Detection Using Step-Varying Vibrational Resonance Based on Duffing Oscillator Nonlinear System
- (2017) Yongbin Liu et al. SHOCK AND VIBRATION
- Vibrational subharmonic and superharmonic resonances
- (2016) J.H. Yang et al. Communications in Nonlinear Science and Numerical Simulation
- Rolling element bearing fault detection using PPCA and spectral kurtosis
- (2015) Jiawei Xiang et al. MEASUREMENT
- An improved multiscale noise tuning of stochastic resonance for identifying multiple transient faults in rolling element bearings
- (2014) Jun Wang et al. JOURNAL OF SOUND AND VIBRATION
- Fault diagnosis of rolling bearings using a genetic algorithm optimized neural network
- (2014) Muhammet Unal et al. MEASUREMENT
- An adaptive envelope spectrum technique for bearing fault detection
- (2014) Wentao Sui et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Stochastic resonance with Woods–Saxon potential for rolling element bearing fault diagnosis
- (2014) Siliang Lu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Rolling bearing diagnosing method based on Empirical Mode Decomposition of machine vibration signal
- (2013) Jacek Dybała et al. APPLIED ACOUSTICS
- A review on empirical mode decomposition in fault diagnosis of rotating machinery
- (2012) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation
- (2012) Zhipeng Feng et al. RENEWABLE ENERGY
- Weak fault feature extraction of rolling bearing based on cyclic Wiener filter and envelope spectrum
- (2010) Yang Ming et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Rolling element bearing fault diagnosis based on the combination of genetic algorithms and fast kurtogram
- (2009) Yongxiang Zhang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started