An optimized VMD method and its applications in bearing fault diagnosis
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
An optimized VMD method and its applications in bearing fault diagnosis
Authors
Keywords
Envelope kurtosis, Frequency band entropy, Fault diagnosis, Rolling bearing, Variational mode decomposition
Journal
MEASUREMENT
Volume 166, Issue -, Pages 108185
Publisher
Elsevier BV
Online
2020-07-12
DOI
10.1016/j.measurement.2020.108185
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Dynamic mapping of design elements and affective responses: a machine learning based method for affective design
- (2018) Z. Li et al. JOURNAL OF ENGINEERING DESIGN
- Fault detection of a wheelset bearing in a high-speed train using the shock-response convolutional sparse-coding technique
- (2018) Jianming Ding MEASUREMENT
- Multilevel thresholding selection based on variational mode decomposition for image segmentation
- (2018) Jiafu Li et al. SIGNAL PROCESSING
- An improved VMD with empirical mode decomposition and its application in incipient fault detection of rolling bearing
- (2018) Fan Jiang et al. IEEE Access
- Application of EEMD and improved frequency band entropy in bearing fault feature extraction
- (2018) Hua Li et al. ISA TRANSACTIONS
- Research on bearing fault feature extraction based on singular value decomposition and optimized frequency band entropy
- (2018) Hua Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Real-Time Classification of Healthy and Apnea Subjects Using ECG Signals With Variational Mode Decomposition
- (2017) A. Smruthy et al. IEEE SENSORS JOURNAL
- Shockable Rhythm Diagnosis for Automated External Defibrillators Using a Modified Variational Mode Decomposition Technique
- (2017) Minh Tuan Nguyen et al. IEEE Transactions on Industrial Informatics
- Precise feature extraction from wind turbine condition monitoring signals by using optimised variational mode decomposition
- (2017) Pu Shi et al. IET Renewable Power Generation
- Research on variational mode decomposition in rolling bearings fault diagnosis of the multistage centrifugal pump
- (2017) Ming Zhang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Independence-oriented VMD to identify fault feature for wheel set bearing fault diagnosis of high speed locomotive
- (2017) Zipeng Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Wheel-bearing fault diagnosis of trains using empirical wavelet transform
- (2016) Hongrui Cao et al. MEASUREMENT
- Demodulation analysis based on adaptive local iterative filtering for bearing fault diagnosis
- (2016) Xueli An et al. MEASUREMENT
- Mechanical Fault Diagnosis of High Voltage Circuit Breakers Based on Variational Mode Decomposition and Multi-Layer Classifier
- (2016) Nantian Huang et al. SENSORS
- A Novel Fault Diagnosis Model for Bearing of Railway Vehicles Using Vibration Signals Based on Symmetric Alpha-Stable Distribution Feature Extraction
- (2016) Yongjian Li et al. SHOCK AND VIBRATION
- Filter bank property of variational mode decomposition and its applications
- (2016) Yanxue Wang et al. SIGNAL PROCESSING
- Variational mode decomposition denoising combined the detrended fluctuation analysis
- (2016) Yuanyuan Liu et al. SIGNAL PROCESSING
- A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM
- (2015) Xiaoyuan Zhang et al. MEASUREMENT
- Denoising of hydropower unit vibration signal based on variational mode decomposition and approximate entropy
- (2015) Xueli An et al. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
- Variational Mode Decomposition
- (2014) Konstantin Dragomiretskiy et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- An insight concept to select appropriate IMFs for envelope analysis of bearing fault diagnosis
- (2012) Wen-Chang Tsao et al. MEASUREMENT
- The fault detection and diagnosis in rolling element bearings using frequency band entropy
- (2012) Tao Liu et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search