Compressed sampling of gearbox oil temperature signal based on an improved intrinsic mode function basis mixed-dictionary
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Junsheng Cheng | N. Hu | Cheng Zhe | W. Lei | Yang Yi
[1] Ping Wang,et al. An improved measurement matrix of compressed sensing for synthetic aperture ultrasound imaging , 2022, Applied Acoustics.
[2] Y. E. Karabacak,et al. Intelligent worm gearbox fault diagnosis under various working conditions using vibration, sound and thermal features , 2022, Applied Acoustics.
[3] Jing Lin,et al. Application of improved Double-Dictionary K-SVD for compound-fault diagnosis of rolling element bearings , 2021, Measurement.
[4] Ataollah Abbasi,et al. Sparse coding classification and cepstral singular value for cognitive workload estimation , 2021, Comput. Electr. Eng..
[5] Dipankar Deb,et al. Wind Turbine Gearbox Anomaly Detection Based on Adaptive Threshold and Twin Support Vector Machines , 2021, IEEE Transactions on Energy Conversion.
[6] Hui Liu,et al. A new hybrid model based on secondary decomposition, reinforcement learning and SRU network for wind turbine gearbox oil temperature forecasting , 2021, Measurement.
[7] Xiangjun Zeng,et al. Gearbox oil temperature anomaly detection for wind turbine based on sparse Bayesian probability estimation , 2020 .
[8] Huaqing Wang,et al. A novel sparse feature extraction method based on sparse signal via dual-channel self-adaptive TQWT , 2020, Chinese Journal of Aeronautics.
[9] Xin Zhang,et al. Bearing fault diagnosis based on sparse representations using an improved OMP with adaptive Gabor sub-dictionaries. , 2020, ISA transactions.
[10] U Rajendra Acharya,et al. Automated detection of sleep apnea using sparse residual entropy features with various dictionaries extracted from heart rate and EDR signals , 2019, Comput. Biol. Medicine.
[11] E. Gorbeña,et al. Analysis of the efficiency of wind turbine gearboxes using the temperature variable , 2019, Renewable Energy.
[12] Zhibin Zhao,et al. A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis , 2019, Journal of Sound and Vibration.
[13] Shengzhi Huang,et al. A robust method for non-stationary streamflow prediction based on improved EMD-SVM model , 2019, Journal of Hydrology.
[14] Laura Rebollo-Neira,et al. Wavelet based dictionaries for dimensionality reduction of ECG signals , 2018, Biomed. Signal Process. Control..
[15] Jin Chen,et al. Weak fault feature extraction of rolling bearings based on globally optimized sparse coding and approximate SVD , 2018, Mechanical Systems and Signal Processing.
[16] Guolin He,et al. Double-dictionary signal decomposition method based on split augmented Lagrangian shrinkage algorithm and its application in gearbox hybrid faults diagnosis , 2018, Journal of Sound and Vibration.
[17] Qiang Miao,et al. Bearing fault diagnosis using a whale optimization algorithm-optimized orthogonal matching pursuit with a combined time–frequency atom dictionary , 2018, Mechanical Systems and Signal Processing.
[18] Huibin Lin,et al. Sliding window denoising K-Singular Value Decomposition and its application on rolling bearing impact fault diagnosis , 2018 .
[19] Huan Long,et al. Wind Turbine Gearbox Failure Identification With Deep Neural Networks , 2017, IEEE Transactions on Industrial Informatics.
[20] Xiangyang Gong,et al. Double-dictionary matching pursuit for fault extent evaluation of rolling bearing based on the Lempel-Ziv complexity , 2016 .
[21] Jing Wang,et al. Basic pursuit of an adaptive impulse dictionary for bearing fault diagnosis , 2014, 2014 International Conference on Mechatronics and Control (ICMC).
[22] Yingning Qiu,et al. Monitoring wind turbine gearboxes , 2013 .
[23] Xiao-Jun Wu,et al. A new semi-supervised clustering algorithm with pairwise constraints by competitive agglomeration , 2011, Appl. Soft Comput..
[24] Michael Elad,et al. Optimized Projections for Compressed Sensing , 2007, IEEE Transactions on Signal Processing.
[25] M. Elad,et al. $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation , 2006, IEEE Transactions on Signal Processing.
[26] S. Shankar Sastry,et al. Generalized principal component analysis (GPCA) , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] E. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[28] Luigi di Stefano,et al. A sufficient condition based on the Cauchy-Schwarz inequality for efficient template matching , 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).
[29] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[30] Stéphane Mallat,et al. Singularity detection and processing with wavelets , 1992, IEEE Trans. Inf. Theory.
[31] Gitta Kutyniok. Compressed Sensing , 2012 .
[32] Sang Joon Kim,et al. A Mathematical Theory of Communication , 2006 .