Research on test bench bearing fault diagnosis of improved EEMD based on improved adaptive resonance technology
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Research on test bench bearing fault diagnosis of improved EEMD based on improved adaptive resonance technology
Authors
Keywords
-
Journal
MEASUREMENT
Volume 185, Issue -, Pages 109986
Publisher
Elsevier BV
Online
2021-08-08
DOI
10.1016/j.measurement.2021.109986
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis
- (2019) Yao Cheng et al. ISA TRANSACTIONS
- Application of optimized variational mode decomposition based on kurtosis and resonance frequency in bearing fault feature extraction
- (2019) Hua Li et al. TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
- Fault Feature Selection and Diagnosis of Rolling Bearings Based on EEMD and Optimized Elman_AdaBoost Algorithm
- (2018) Qiang Fu et al. IEEE SENSORS JOURNAL
- Bearing fault diagnosis under unknown time-varying rotational speed conditions via multiple time-frequency curve extraction
- (2018) Huan Huang et al. JOURNAL OF SOUND AND VIBRATION
- Modified complementary ensemble empirical mode decomposition and intrinsic mode functions evaluation index for high-speed train gearbox fault diagnosis
- (2018) Dongyue Chen et al. JOURNAL OF SOUND AND VIBRATION
- 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
- A hybrid fault diagnosis approach based on mixed-domain state features for rotating machinery
- (2017) Xiaoming Xue et al. ISA TRANSACTIONS
- Bearing performance degradation assessment based on a combination of empirical mode decomposition and k-medoids clustering
- (2017) Akhand Rai et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Bearing damage assessment using Jensen-Rényi Divergence based on EEMD
- (2017) Jaskaran Singh et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Fault Detection of Bearing Systems through EEMD and Optimization Algorithm
- (2017) Dong-Han Lee et al. SENSORS
- A Hybrid EEMD-Based SampEn and SVD for Acoustic Signal Processing and Fault Diagnosis
- (2016) Zhi-Xin Yang et al. Entropy
- Bearing fault diagnosis based on an improved morphological filter
- (2016) Zhiyong Hu et al. MEASUREMENT
- Wheel-bearing fault diagnosis of trains using empirical wavelet transform
- (2016) Hongrui Cao et al. MEASUREMENT
- Kurtosis based weighted sparse model with convex optimization technique for bearing fault diagnosis
- (2016) Han Zhang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Research of Fault Diagnosis Based on Sensitive Intrinsic Mode Function Selection of EEMD and Adaptive Stochastic Resonance
- (2016) Zhixing Li et al. SHOCK AND VIBRATION
- A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM
- (2015) Xiaoyuan Zhang et al. MEASUREMENT
- Research of weak fault feature information extraction of planetary gear based on ensemble empirical mode decomposition and adaptive stochastic resonance
- (2015) Xi-hui Chen et al. MEASUREMENT
- Weak fault signature extraction of rotating machinery using flexible analytic wavelet transform
- (2015) ChunLin Zhang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Fault identification of rotor-bearing system based on ensemble empirical mode decomposition and self-zero space projection analysis
- (2014) Fan Jiang et al. JOURNAL OF SOUND AND VIBRATION
- Feature extraction of rolling bearing’s early weak fault based on EEMD and tunable Q-factor wavelet transform
- (2014) Hongchao Wang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- An energy kurtosis demodulation technique for signal denoising and bearing fault detection
- (2013) Wilson Wang et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines
- (2013) Xiaoyuan Zhang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- An improved EEMD with multiwavelet packet for rotating machinery multi-fault diagnosis
- (2013) Hongkai Jiang et al. MECHANICAL SYSTEMS AND 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
- Application of an improved kurtogram method for fault diagnosis of rolling element bearings
- (2011) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- The use of ensemble empirical mode decomposition to improve bispectral analysis for fault detection in rotating machinery
- (2010) Y Lei et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
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 MoreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search