Gear fault feature extraction and diagnosis method under different load excitation based on EMD, PSO-SVM and fractal box dimension
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Gear fault feature extraction and diagnosis method under different load excitation based on EMD, PSO-SVM and fractal box dimension
Authors
Keywords
Gear fault diagnosis, EMD, PSO-SVM, Fractal box dimension, Different load
Journal
Journal of Mechanical Science and Technology
Volume 33, Issue 2, Pages 487-494
Publisher
Springer Nature
Online
2019-02-26
DOI
10.1007/s12206-019-0101-z
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Gear fault diagnosis under variable conditions with intrinsic time-scale decomposition-singular value decomposition and support vector machine
- (2017) Zhanqiang Xing et al. Journal of Mechanical Science and Technology
- Diagnosing planetary gear faults using the fuzzy entropy of LMD and ANFIS
- (2016) Xihui Chen et al. Journal of Mechanical Science and Technology
- Signal feature extraction based on cascaded multi-stable stochastic resonance denoising and EMD method
- (2016) Peiming Shi et al. MEASUREMENT
- Multi-frequency weak signal detection based on wavelet transform and parameter compensation band-pass multi-stable stochastic resonance
- (2016) Dongying Han et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Fault features analysis of cracked gear considering the effects of the extended tooth contact
- (2015) Hui Ma et al. ENGINEERING FAILURE ANALYSIS
- Energy operator demodulating of optimal resonance components for the compound faults diagnosis of gearboxes
- (2015) Dingcheng Zhang et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Gear fault diagnosis based on support vector machine optimized by artificial bee colony algorithm
- (2015) Dalian Yang et al. MECHANISM AND MACHINE THEORY
- A time domain approach to diagnose gearbox fault based on measured vibration signals
- (2014) Liu Hong et al. JOURNAL OF SOUND AND VIBRATION
- Feature-level fusion based on wavelet transform and artificial neural network for fault diagnosis of planetary gearbox using acoustic and vibration signals
- (2013) M Khazaee et al. INSIGHT
- A roller bearing fault diagnosis method based on hierarchical entropy and support vector machine with particle swarm optimization algorithm
- (2013) Keheng Zhu et al. MEASUREMENT
- Optimal Bayesian estimation and control scheme for gear shaft fault detection
- (2012) Rui Jiang et al. COMPUTERS & INDUSTRIAL ENGINEERING
- Research on dynamics and fault mechanism of spur gear pair with spalling defect
- (2012) Rui Ma et al. JOURNAL OF SOUND AND VIBRATION
- Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings
- (2012) Zhiwen Liu et al. NEUROCOMPUTING
- Dynamic simulation of spur gear with tooth root crack propagating along tooth width and crack depth
- (2011) Zaigang Chen et al. ENGINEERING FAILURE ANALYSIS
- Strong nonlinearity analysis for gear-bearing system under nonlinear suspension—bifurcation and chaos
- (2009) Cai-Wan Chang-Jian NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS
- A gear fault diagnosis using Hilbert spectrum based on MODWPT and a comparison with EMD approach
- (2008) Yu Yang et al. MEASUREMENT
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started