Particle swarm optimization-based empirical mode decomposition–kernel independent component analysis joint approach for diagnosing wind turbine gearbox with multiple faults
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Particle swarm optimization-based empirical mode decomposition–kernel independent component analysis joint approach for diagnosing wind turbine gearbox with multiple faults
Authors
Keywords
-
Journal
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
Volume 40, Issue 6, Pages 1836-1845
Publisher
SAGE Publications
Online
2017-03-16
DOI
10.1177/0142331217691336
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Underdetermined blind modal identification of structures by earthquake and ambient vibration measurements via sparse component analysis
- (2016) Fereidoun Amini et al. JOURNAL OF SOUND AND VIBRATION
- Diagnosis of Induction Motors Under Varying Speed Operation by Principal Slot Harmonic Tracking
- (2015) Vicente Climente-Alarcon et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
- Adaptive KPCA Modeling of Nonlinear Systems
- (2015) Zhe Li et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Implementation of discrete wavelet transform-based discrimination and state-of-health diagnosis for a polymer electrolyte membrane fuel cell
- (2014) Jonghoon Kim et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- A nonlinear principal component analysis approach for turbulent combustion composition space
- (2014) Hessam Mirgolbabaei et al. INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
- Online monitoring of nonlinear multivariate industrial processes using filtering KICA–PCA
- (2013) Jicong Fan et al. CONTROL ENGINEERING PRACTICE
- Using appropriate IMFs for envelope analysis in multiple fault diagnosis of ball bearings
- (2013) Min-Chun Pan et al. INTERNATIONAL JOURNAL OF MECHANICAL SCIENCES
- Measurement of soil properties using visible and short wave-near infrared spectroscopy and multivariate calibration
- (2013) Liu Xuemei et al. MEASUREMENT
- Defect detection in deep groove ball bearing in presence of external vibration using envelope analysis and Duffing oscillator
- (2012) V.N. Patel et al. MEASUREMENT
- Blind vibration component separation and nonlinear feature extraction applied to the nonstationary vibration signals for the gearbox multi-fault diagnosis
- (2012) Zhixiong Li et al. MEASUREMENT
- A review on empirical mode decomposition in fault diagnosis of rotating machinery
- (2012) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Virtual prototype and experimental research on gear multi-fault diagnosis using wavelet-autoregressive model and principal component analysis method
- (2011) Zhixiong Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Diagnostics of gear faults based on EMD and automatic selection of intrinsic mode functions
- (2010) Roberto Ricci et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Wind turbine fault diagnosis based on Morlet wavelet transformation and Wigner-Ville distribution
- (2010) Baoping Tang et al. RENEWABLE ENERGY
- The PSO family: deduction, stochastic analysis and comparison
- (2009) J. L. Fernández Martínez et al. Swarm Intelligence
- Enhanced statistical analysis of nonlinear processes using KPCA, KICA and SVM
- (2008) Yingwei Zhang CHEMICAL ENGINEERING SCIENCE
- Blind source extraction: Standard approaches and extensions to noisy and post-nonlinear mixing
- (2008) Wai Yie Leong et al. NEUROCOMPUTING
Publish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn MoreBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started