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。Design of robust fuzzy fault detection filter for polynomial fuzzy systems with new finite frequency specifications
Ali Chibani et al.
AUTOMATICA (2018)
Fault Detection Filtering for Nonhomogeneous Markovian Jump Systems via a Fuzzy Approach
Fanbiao Li et al.
IEEE TRANSACTIONS ON FUZZY SYSTEMS (2018)
Tensor Singular Spectrum Decomposition Algorithm Based on Permutation Entropy for Rolling Bearing Fault Diagnosis
Cancan Yi et al.
ENTROPY (2017)
A Tensor-Based Method for Large-Scale Blind Source Separation Using Segmentation
Martijn Bousse et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2017)
Fault Detection of Bearing Systems through EEMD and Optimization Algorithm
Dong-Han Lee et al.
SENSORS (2017)
Research on the Blind Source Separation Method Based on Regenerated Phase-Shifted Sinusoid-Assisted EMD and Its Application in Diagnosing Rolling-Bearing Faults
Cancan Yi et al.
APPLIED SCIENCES-BASEL (2017)
A Rolling Bearing Fault Diagnosis Method Based on Variational Mode Decomposition and an Improved Kernel Extreme Learning Machine
Ke Li et al.
APPLIED SCIENCES-BASEL (2017)
Improved Singular Value Decomposition (TopSVD) for Source Number Estimation of Low SNR in Blind Source Separation
Hongchun Sun et al.
IEEE ACCESS (2017)
Multivariate empirical mode decomposition and its application to fault diagnosis of rolling bearing
Yong Lv et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)
Adaptive-projection intrinsically transformed multivariate empirical mode decomposition in cooperative brain-computer interface applications
Apit Hemakom et al.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2016)
Underdetermined Blind Source Separation with Variational Mode Decomposition for Compound Roller Bearing Fault Signals
Gang Tang et al.
SENSORS (2016)
Outsourcing Eigen-Decomposition and Singular Value Decomposition of Large Matrix to a Public Cloud
Lifeng Zhou et al.
IEEE ACCESS (2016)
Rolling Bearing Fault Diagnosis Based on Wavelet Packet Decomposition and Multi-Scale Permutation Entropy
Li-Ye Zhao et al.
ENTROPY (2015)
Tensor Decompositions for Signal Processing Applications
Andrzej Cichocki et al.
IEEE SIGNAL PROCESSING MAGAZINE (2015)
Fault Diagnosis of Rolling Bearing Based on Fast Nonlocal Means and Envelop Spectrum
Yong Lv et al.
SENSORS (2015)
Faults Diagnostics of Railway Axle Bearings Based on IMF's Confidence Index Algorithm for Ensemble EMD
Cai Yi et al.
SENSORS (2015)
EEG classification in a single-trial basis for vowel speech perception using multivariate empirical mode decomposition
Jongin Kim et al.
JOURNAL OF NEURAL ENGINEERING (2014)
Multi-Fault Detection of Rolling Element Bearings under Harsh Working Condition Using IMF-Based Adaptive Envelope Order Analysis
Ming Zhao et al.
SENSORS (2014)
Hybrid image fusion scheme using self-fractional Fourier functions and multivariate empirical mode decomposition
J. B. Sharma et al.
SIGNAL PROCESSING (2014)
Multi-fault diagnosis for rolling element bearings based on ensemble empirical mode decomposition and optimized support vector machines
Xiaoyuan Zhang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)
A review on empirical mode decomposition in fault diagnosis of rotating machinery
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)
A repeated single-channel mechanical signal blind separation method based on morphological filtering and singular value decomposition
Shaojiang Dong et al.
MEASUREMENT (2012)
Multivariate EMD and full spectrum based condition monitoring for rotating machinery
Xiaomin Zhao et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2012)
A new implementation of common matrix approach using third-order tensors for face recognition
Semih Ergin et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Filter Bank Property of Multivariate Empirical Mode Decomposition
Naveed Ur Rehman et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2011)
Bivariate empirical mode decomposition and its contribution to wind turbine condition monitoring
Wenxian Yang et al.
JOURNAL OF SOUND AND VIBRATION (2011)
Constrained independent component analysis and its application to machine fault diagnosis
Zhiyang Wang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2011)
Multivariate empirical mode decomposition and application to multichannel filtering
Julien Fleureau et al.
SIGNAL PROCESSING (2011)
Empirical Mode Decomposition for Trivariate Signals
Naveed ur Rehman et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2010)
Multivariate empirical mode decomposition
N. Rehman et al.
PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2010)
COMPLEMENTARY ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOVEL NOISE ENHANCED DATA ANALYSIS METHOD
Jia-Rong Yeh et al.
ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS (2010)
Multiscale Image Fusion Using Complex Extensions of EMD
David Looney et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2009)
ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOISE-ASSISTED DATA ANALYSIS METHOD
Zhaohua Wu et al.
ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS (2009)
Higher-order SVD-based subspace estimation to improve the parameter estimation accuracy in multidimensional harmonic retrieval problems
Martin Haardt et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2008)
An improved method for restraining the end effect in empirical mode decomposition and its applications to the fault diagnosis of large rotating machinery
Fangji Wu et al.
JOURNAL OF SOUND AND VIBRATION (2008)
Bivariate empirical mode decomposition
Gabriel Rilling et al.
IEEE SIGNAL PROCESSING LETTERS (2007)
Multicomponent wave separation using HOSVD/unimodal-ICA subspace method
Valeriu D. Vrabie et al.
GEOPHYSICS (2006)
Empirical mode decomposition as a filter bank
P Flandrin et al.
IEEE SIGNAL PROCESSING LETTERS (2004)
分享论文
