Fault feature extraction of rolling element bearings based on wavelet packet transform and sparse representation theory
出版年份 2015 全文链接
标题
Fault feature extraction of rolling element bearings based on wavelet packet transform and sparse representation theory
作者
关键词
Wavelet packet transform (WPT), Sparse representation , Dictionary learning, Sparse wavelet reconstruction residual (SWRR), Machinery fault diagnosis
出版物
JOURNAL OF INTELLIGENT MANUFACTURING
Volume 29, Issue 4, Pages 937-951
出版商
Springer Nature
发表日期
2015-09-19
DOI
10.1007/s10845-015-1153-2
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Data set preprocessing methods for the artificial intelligence-based diagnostic module
- (2014) Piotr Bilski MEASUREMENT
- Hierarchical indices to detect equipment condition changes with high dimensional data for semiconductor manufacturing
- (2013) Hui-Chun Yu et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Fault diagnosis in power transformers using multi-class logical analysis of data
- (2013) Mohamad-Ali Mortada et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Bearing running state recognition based on non-extensive wavelet feature scale entropy and support vector machine
- (2013) Shaojiang Dong et al. MEASUREMENT
- Application of Hilbert–Huang Transform to acoustic emission signal for burn feature extraction in surface grinding process
- (2013) Zhensheng Yang et al. MEASUREMENT
- Comparison of FDA-based and PCA-based features in fault diagnosis of automobile gearboxes
- (2013) M.H. Gharavian et al. NEUROCOMPUTING
- Wavelets for fault diagnosis of rotary machines: A review with applications
- (2013) Ruqiang Yan et al. SIGNAL PROCESSING
- On $l_q$ Optimization and Matrix Completion
- (2012) G. Marjanovic et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Statistical process monitoring approach for high-density point clouds
- (2012) Lee J. Wells et al. JOURNAL OF INTELLIGENT MANUFACTURING
- On line tool wear monitoring based on auto associative neural network
- (2012) Guofeng Wang et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Fault diagnosis and prognosis using wavelet packet decomposition, Fourier transform and artificial neural network
- (2012) Zhenyou Zhang et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Vibration signal classification by wavelet packet energy flow manifold learning
- (2012) Qingbo He JOURNAL OF SOUND AND VIBRATION
- The iterative shrinkage method for impulsive noise reduction from images
- (2012) Sajjad Beygi et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Fault detection of mechanical drives under variable operating conditions based on wavelet packet Rényi entropy signatures
- (2012) Pavle Boškoski et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Graph Regularized Sparse Coding for Image Representation
- (2010) Miao Zheng et al. IEEE TRANSACTIONS ON IMAGE PROCESSING
- Feature extraction for rolling element bearing fault diagnosis utilizing generalized S transform and two-dimensional non-negative matrix factorization
- (2010) Bing Li et al. JOURNAL OF SOUND AND VIBRATION
- A novel approach of analog circuit fault diagnosis using support vector machines classifier
- (2010) Jiang Cui et al. MEASUREMENT
- Transient modeling and parameter identification based on wavelet and correlation filtering for rotating machine fault diagnosis
- (2010) Shibin Wang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Dictionaries for Sparse Representation Modeling
- (2010) Ron Rubinstein et al. PROCEEDINGS OF THE IEEE
- Fault features extraction for bearing prognostics
- (2009) Ruoyu Li et al. JOURNAL OF INTELLIGENT MANUFACTURING
- From Sparse Solutions of Systems of Equations to Sparse Modeling of Signals and Images
- (2009) Alfred M. Bruckstein et al. SIAM REVIEW
- Wavelet Transform-based Higher-order Statistics for Fault Diagnosis in Rolling Element Bearings
- (2008) Fucai Li et al. JOURNAL OF VIBRATION AND CONTROL
- A new approach to intelligent fault diagnosis of rotating machinery
- (2007) Yaguo Lei et al. EXPERT SYSTEMS WITH APPLICATIONS
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