Weak fault feature extraction of rolling bearings based on improved ensemble noise-reconstructed EMD and adaptive threshold denoising
出版年份 2022 全文链接
标题
Weak fault feature extraction of rolling bearings based on improved ensemble noise-reconstructed EMD and adaptive threshold denoising
作者
关键词
Weak feature extraction, Empirical mode decomposition, Threshold denoising, Fault diagnosis, Envelope analysis, Rolling bearing
出版物
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 171, Issue -, Pages 108834
出版商
Elsevier BV
发表日期
2022-02-10
DOI
10.1016/j.ymssp.2022.108834
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Research on extracting weak repetitive transients of fault rolling element bearing
- (2021) Wei Kang et al. ISA TRANSACTIONS
- Fault diagnosis of reciprocating compressor using a novel ensemble empirical mode decomposition-convolutional deep belief network
- (2020) Ying Zhang et al. MEASUREMENT
- A Two-Step Denoising Strategy for Early-Stage Fault Diagnosis of Rolling Bearings
- (2020) Chunlin Zhang et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Fault feature extraction and diagnosis of rolling bearings based on wavelet thresholding denoising with CEEMDAN energy entropy and PSO-LSSVM
- (2020) Wuge Chen et al. MEASUREMENT
- Rolling element bearing diagnosis based on singular value decomposition and composite squared envelope spectrum
- (2020) Lang Xu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Health monitoring of rolling element bearings using improved wavelet cross spectrum technique and support vector machines
- (2020) Abhilash Skariah et al. TRIBOLOGY INTERNATIONAL
- A Bearing Fault Diagnosis Method Based on Enhanced Singular Value Decomposition
- (2020) Hua Li et al. IEEE Transactions on Industrial Informatics
- Sparse Elitist Group Lasso Denoising in Frequency Domain for Bearing Fault Diagnosis
- (2020) Kai Zheng et al. IEEE Transactions on Industrial Informatics
- Fault feature extraction for rolling element bearing diagnosis based on a multi-stage noise reduction method
- (2019) Junchao Guo et al. MEASUREMENT
- Nonlinear active noise control system based on correlated EMD and Chebyshev filter
- (2019) Bin Chen et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Application of a new EWT-based denoising technique in bearing fault diagnosis
- (2019) Saeed Nezamivand Chegini et al. MEASUREMENT
- Early Fault Diagnosis and Classification of Ball Bearing Using Enhanced Kurtogram and Gaussian Mixture Model
- (2019) Youngsun Hong et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- A fault diagnosis method for roller bearing based on empirical wavelet transform decomposition with adaptive empirical mode segmentation
- (2018) Yueheng Song et al. MEASUREMENT
- Weak fault feature extraction of rolling bearings based on globally optimized sparse coding and approximate SVD
- (2018) Fatao Hou et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Integrated ensemble noise-reconstructed empirical mode decomposition for mechanical fault detection
- (2018) Jing Yuan et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
- (2018) Biao Wang et al. IEEE TRANSACTIONS ON RELIABILITY
- Detection of Bearing Faults in Mechanical Systems Using Stator Current Monitoring
- (2017) Sukhjeet Singh et al. IEEE Transactions on Industrial Informatics
- Bearing damage assessment using Jensen-Rényi Divergence based on EEMD
- (2017) Jaskaran Singh et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A comparative study between Empirical Wavelet Transforms and Empirical Mode Decomposition Methods: Application to bearing defect diagnosis
- (2016) M. Kedadouche et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A data-driven method to enhance vibration signal decomposition for rolling bearing fault analysis
- (2016) M. Grasso et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Robust condition monitoring of rolling element bearings using de-noising and envelope analysis with signal decomposition techniques
- (2015) Phuong Nguyen et al. EXPERT SYSTEMS WITH APPLICATIONS
- A novel approach to wavelet selection and tree kernel construction for diagnosis of rolling element bearing fault
- (2015) Chenxi Wu et al. JOURNAL OF INTELLIGENT MANUFACTURING
- 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
- Relevance of Wavelet Shape Selection in a complex signal
- (2013) M. Bigerelle et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Early Classification of Bearing Faults Using Morphological Operators and Fuzzy Inference
- (2012) A. Santhana Raj et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A review on empirical mode decomposition in fault diagnosis of rotating machinery
- (2012) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Selection of effective singular values using difference spectrum and its application to fault diagnosis of headstock
- (2011) Xuezhi Zhao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- EEMD method and WNN for fault diagnosis of locomotive roller bearings
- (2010) Yaguo Lei et al. EXPERT SYSTEMS WITH APPLICATIONS
- Detection of Motor Bearing Outer Raceway Defect by Wavelet Packet Transformed Motor Current Signature Analysis
- (2010) Enzo C. C. Lau et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- A multidimensional hybrid intelligent method for gear fault diagnosis
- (2009) Yaguo Lei et al. EXPERT SYSTEMS WITH APPLICATIONS
- Application of mother wavelet functions for automatic gear and bearing fault diagnosis
- (2009) J. Rafiee et al. EXPERT SYSTEMS WITH APPLICATIONS
- BASE WAVELET SELECTION FOR BEARING VIBRATION SIGNAL ANALYSIS
- (2009) RUQIANG YAN et al. International Journal of Wavelets Multiresolution and Information Processing
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd 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 Now