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A fault diagnosis scheme for rolling bearing based on local mean decomposition and improved multiscale fuzzy entropy

https://doi.org/10.1016/j.jsv.2015.09.016
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Outgoing claims: the papers this work cites, builds on, or argues with.

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APPLICATION OF THE ENVELOPE AND WAVELET TRANSFORM ANALYSES FOR THE DIAGNOSIS OF INCIPIENT FAULTS IN BALL BEARINGS
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Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection
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Vibration signal models for fault diagnosis of planetary gearboxes
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Continuous-scale mathematical morphology-based optimal scale band demodulation of impulsive feature for bearing defect diagnosis
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A new rolling bearing fault diagnosis method based on multiscale permutation entropy and improved support vector machine based binary tree
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A fault diagnosis method based on local mean decomposition and multi-scale entropy for roller bearings
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Theoretical and Empirical Analysis of ReliefF and RReliefF
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The local mean decomposition and its application to EEG perception data
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Support Vector Machines and Other Pattern Recognition Approaches to the Diagnosis of Cerebral Palsy Gait
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Feature extraction and fault severity classification in ball bearings
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Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Leveraging systems’ non-linearity to tackle the scarcity of data in the design of intelligent fault diagnosis systems
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A Systematic Review of Fuzzy Formalisms for Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.1109/tii.2022.3185293openalex-snapshot
Intelligent Fault Detection for Rotating Machinery Using Cyclic Morphological Modulation Spectrum and Hierarchical Teager Permutation Entropy
inferred← citeshttps://doi.org/10.1109/tim.2020.2978966openalex-snapshot
A Novel Health Indicator Based on Information Theory Features for Assessing Rotating Machinery Performance Degradation
inferred← citeshttps://doi.org/10.1109/tim.2021.3072138openalex-snapshot
Rolling Bearing Fault Diagnosis Based on CEEMDAN and Refined Composite Multiscale Fuzzy Entropy
inferred← citeshttps://doi.org/10.1109/tr.2019.2896240openalex-snapshot
Entropy Based Fault Classification Using the Case Western Reserve University Data: A Benchmark Study
inferred← citeshttps://doi.org/10.1109/tsmc.2020.3018102openalex-snapshot
Novel Fast and Automatic Condition Monitoring Strategy Based on Small Amount of Labeled Data
inferred← citeshttps://doi.org/10.1115/1.4064642openalex-snapshot
Indirect Prediction of Spindle Rotation Error Through Vibration Signal Based on Supervised Local Mean Decomposition Filter Fusion and Bi-LSTM Classification Network
inferred← citeshttps://doi.org/10.1142/s0218126624500142openalex-snapshot
A Rolling Bearing Fault Diagnosis Method Based on Improved CEEMDAN and RCMFE
inferred← citeshttps://doi.org/10.1142/s0219477521500553openalex-snapshot
Generalized Cumulative Residual Entropy of Time Series Based on Permutation Patterns
inferred← citeshttps://doi.org/10.1155/2016/3151802openalex-snapshot
Research on Mechanical Fault Diagnosis Scheme Based on Improved Wavelet Total Variation Denoising
inferred← citeshttps://doi.org/10.1155/2016/5432648openalex-snapshot
A Novel Method of Fault Diagnosis for Rolling Bearing Based on Dual Tree Complex Wavelet Packet Transform and Improved Multiscale Permutation Entropy
inferred← citeshttps://doi.org/10.1155/2018/4068431openalex-snapshot
Bearing Remaining Useful Life Prediction Based on a Nonlinear Wiener Process Model
inferred← citeshttps://doi.org/10.1155/2018/7546128openalex-snapshot
Fault Diagnosis of Intershaft Bearings Using Fusion Information Exergy Distance Method
inferred← citeshttps://doi.org/10.1155/2018/8452509openalex-snapshot
Fault Diagnosis of Rotating Machinery Based on Stochastic Resonance with a Bistable Confining Potential
inferred← citeshttps://doi.org/10.1155/2018/9495265openalex-snapshot
Research on Fault Feature Extraction Method of Rolling Bearing Based on NMD and Wavelet Threshold Denoising
inferred← citeshttps://doi.org/10.1155/2019/2619252openalex-snapshot
A New Intelligent Fault Diagnosis Method of Rotating Machinery under Varying‐Speed Conditions Using Infrared Thermography
inferred← citeshttps://doi.org/10.1155/2019/3262818openalex-snapshot
A Fault Diagnosis Method for One‐Dimensional Vibration Signal Based on Multiresolution tlsDMD and Approximate Entropy
inferred← citeshttps://doi.org/10.1155/2019/6450719openalex-snapshot
Research on the Feature Selection of Rolling Bearings’ Degradation Features
inferred← citeshttps://doi.org/10.1155/2019/7905674openalex-snapshot
Bearing Fault Diagnosis with Kernel Sparse Representation Classification Based on Adaptive Local Iterative Filtering‐Enhanced Multiscale Entropy Features
inferred← citeshttps://doi.org/10.1155/2019/8213056openalex-snapshot
Fault Diagnosis of Variable Load Bearing Based on Quantum Chaotic Fruit Fly VMD and Variational RVM
inferred← citeshttps://doi.org/10.1155/2020/8835462openalex-snapshot
A Novel Shearer Cutting State Recognition Method Based on Improved Variational Mode Decomposition and LSSVM with Acoustic Signals
inferred← citeshttps://doi.org/10.1155/2020/8843759openalex-snapshot
A Review of Artificial Intelligence Methods for Condition Monitoring and Fault Diagnosis of Rolling Element Bearings for Induction Motor
inferred← citeshttps://doi.org/10.1155/2020/8846156openalex-snapshot
Multistage Fault Feature Extraction of Consistent Optimization for Rolling Bearings Based on Correlated Kurtosis
inferred← citeshttps://doi.org/10.1155/2020/8846822openalex-snapshot
A Novel Method for Diagnosis of Bearing Fault Using Hierarchical Multitasks Convolutional Neural Networks
inferred← citeshttps://doi.org/10.11606/t.59.2021.tde-14082021-145519openalex-snapshot
Avaliação de métodos de análises não lineares alternativos à entropia multi-escala em séries fisiológicas curtas
inferred← citeshttps://doi.org/10.1177/0142331219844555openalex-snapshot
Rolling element bearing fault diagnosis based on multi-scale global fuzzy entropy, multiple class feature selection and support vector machine
inferred← citeshttps://doi.org/10.1177/01423312231184932openalex-snapshot
Rolling bearing fault diagnosis under variable working conditions using deep convolutional fuzzy system
inferred← citeshttps://doi.org/10.1177/01423312251389238openalex-snapshot
A domain adaptive fault diagnosis method for rolling bearing based on multi-layer convolution-guided transformer under variable working conditions
inferred← citeshttps://doi.org/10.1177/0954407019825987openalex-snapshot
Improved empirical wavelet transform method based on spectrum trend for gearbox fault signal processing
inferred← citeshttps://doi.org/10.1177/1077546319877711openalex-snapshot
An integrated method based on refined composite multivariate hierarchical permutation entropy and random forest and its application in rotating machinery
inferred← citeshttps://doi.org/10.1177/1461348417744302openalex-snapshot
Fault diagnosis of bearing based on the kernel principal component analysis and optimized k -nearest neighbour model
inferred← citeshttps://doi.org/10.1177/14759217211036025openalex-snapshot
Comparative study on the use of acoustic emission and vibration analyses for the bearing fault diagnosis of high-speed trains
inferred← citeshttps://doi.org/10.1177/14759217221079668openalex-snapshot
Intelligent fault diagnosis of rotating machinery using composite multivariate-based multi-scale symbolic dynamic entropy with multi-source monitoring data
inferred← citeshttps://doi.org/10.1177/14759217231163090openalex-snapshot
Continuous monitoring of rolling element bearing health by nonlinear weighted squared envelope-based fuzzy entropy
inferred← citeshttps://doi.org/10.1177/14759217241257038openalex-snapshot
Spectral feature informed variational model and its applications to machinery fault diagnosis
inferred← citeshttps://doi.org/10.1177/1687814019836311openalex-snapshot
Bearings fault diagnosis based on adaptive local iterative filtering–multiscale permutation entropy and multinomial logistic model with group-lasso
inferred← citeshttps://doi.org/10.1515/ijeeps-2017-0091openalex-snapshot
A Novel Bearing Fault Diagnosis Method Based on LMD and Wavelet Packet Energy Entropy
inferred← citeshttps://doi.org/10.1587/nolta.17.295openalex-snapshot
Estimating circadian rhythms and their association with sleep efficiency using long-term biological signals
inferred← citeshttps://doi.org/10.18280/ts.380217openalex-snapshot
Fault Diagnosis of Rolling Bearings Based on Improved Empirical Mode Decomposition and Fuzzy C-Means Algorithm
inferred← citeshttps://doi.org/10.20855/ijav.2022.27.1openalex-snapshot
inferred← citeshttps://doi.org/10.20855/ijav.2022.27.11827openalex-snapshot
Rolling Bearing Fault Feature Extraction Using Local Maximum Synchrosqueezing Transform and Global Fuzzy Entropy
inferred← citeshttps://doi.org/10.21203/rs.3.rs-361154/v1openalex-snapshot
Multiscale Entropy Analysis of Short Signals: The Robustness of Fuzzy Entropy-Based Variants
inferred← citeshttps://doi.org/10.21203/rs.3.rs-888210/v1openalex-snapshot
Rolling Bearing Fault Diagnosis Algorithm Based on Overlapping Group Sparse Model-Deep Complex Convolutional Neural Network
inferred← citeshttps://doi.org/10.21595/jve.2016.17269openalex-snapshot
Vibration-based damage detection of concrete gravity dam monolith via wavelet transform
inferred← citeshttps://doi.org/10.21595/jve.2016.17332openalex-snapshot
Fault diagnosis of rolling bearing using CVA based detector
inferred← citeshttps://doi.org/10.21595/jve.2017.17727openalex-snapshot
Improving the weak feature extraction by adaptive stochastic resonance in cascaded piecewise-linear system and its application in bearing fault detection
inferred← citeshttps://doi.org/10.21595/jve.2017.17906openalex-snapshot
An automatic feature extraction method and its application in fault diagnosis
inferred← citeshttps://doi.org/10.21595/jve.2017.18120openalex-snapshot
Vibration-based classification of centrifugal pumps using support vector machine and discrete wavelet transform
inferred← citeshttps://doi.org/10.21595/jve.2017.18772openalex-snapshot
Direct calculation method of probability density from sampled vibration signal based on linear interpolation method
inferred← citeshttps://doi.org/10.21595/jve.2018.19099openalex-snapshot
Remaining useful life prediction of the ball screw system based on weighted Mahalanobis distance and an exponential model
inferred← citeshttps://doi.org/10.21595/jve.2018.19339openalex-snapshot
An intelligent fault diagnosis method of rotating machinery using L1-regularized sparse filtering
inferred← citeshttps://doi.org/10.21595/jve.2024.23912openalex-snapshot
Rolling bearing fault analysis based on variational mode decomposition and multiscale arrangement entropy
inferred← citeshttps://doi.org/10.21595/jve.2024.24435openalex-snapshot
Feature extraction of rolling bearing based on adaptive variational multi-harmonic mode extraction
inferred← citeshttps://doi.org/10.21629/jsee.2019.04.17openalex-snapshot
Review of local mean decomposition and its application in fault diagnosis of rotating machinery
inferred← citeshttps://doi.org/10.22075/jrce.2017.11561.1191openalex-snapshot
Damage Detection in Post-Tensioned Slab Using 2D Wavelet Transforms
inferred← citeshttps://doi.org/10.24200/j30.2018.1971.2043openalex-snapshot
مقایسه ی تحلیل استاتیکی و مودال در شناسایی آسیب سد وزنی با استفاده از تبدیل موجک
inferred← citeshttps://doi.org/10.25198/2077-7175-2019-4-121openalex-snapshot
THEORETICAL APPROACH OF INFORMATIVITY ASSESSMENT TEST PARAMETER OF CAR TRANSMISSION
inferred← citeshttps://doi.org/10.3233/jifs-169543openalex-snapshot
Bearing performance degradation condition recognition based on a combination of improved pattern spectrum entropy and fuzzy C-means
inferred← citeshttps://doi.org/10.3389/fams.2025.1530570openalex-snapshot
Detection of neonatal asphyxia by analyzing the complexity of electroencephalography data
inferred← citeshttps://doi.org/10.3390/a12090184openalex-snapshot
Fault Diagnosis of Rolling Bearing Using Multiscale Amplitude-Aware Permutation Entropy and Random Forest
inferred← citeshttps://doi.org/10.3390/app10124221openalex-snapshot
Intelligent Fault Diagnosis of Rotating Machinery Using Hierarchical Lempel-Ziv Complexity
inferred← citeshttps://doi.org/10.3390/app13106058openalex-snapshot
Mechanical Incipient Fault Detection and Performance Analysis Using Adaptive Teager-VMD Method
inferred← citeshttps://doi.org/10.3390/app7020164openalex-snapshot
Vibration-Based Signal Analysis for Shearer Cutting Status Recognition Based on Local Mean Decomposition and Fuzzy C-Means Clustering
inferred← citeshttps://doi.org/10.3390/app7040414openalex-snapshot
Research on the Blind Source Separation Method Based on Regenerated Phase-Shifted Sinusoid-Assisted EMD and Its Application in Diagnosing Rolling-Bearing Faults
inferred← citeshttps://doi.org/10.3390/app9081676openalex-snapshot
Fault Diagnosis for Rolling Bearing Based on Semi-Supervised Clustering and Support Vector Data Description with Adaptive Parameter Optimization and Improved Decision Strategy
inferred← citeshttps://doi.org/10.3390/app9091876openalex-snapshot
Fault Feature Extraction and Enhancement of Rolling Element Bearings Based on Maximum Correlated Kurtosis Deconvolution and Improved Empirical Wavelet Transform
inferred← citeshttps://doi.org/10.3390/e19030086openalex-snapshot
Motion Sequence Decomposition-Based Hybrid Entropy Feature and Its Application to Fault Diagnosis of a High-Speed Automatic Mechanism
inferred← citeshttps://doi.org/10.3390/e19040176openalex-snapshot
Multi-Scale Permutation Entropy Based on Improved LMD and HMM for Rolling Bearing Diagnosis
inferred← citeshttps://doi.org/10.3390/e19110585openalex-snapshot
A Refined Composite Multivariate Multiscale Fuzzy Entropy and Laplacian Score-Based Fault Diagnosis Method for Rolling Bearings
inferred← citeshttps://doi.org/10.3390/e20120920openalex-snapshot
Optimized Adaptive Local Iterative Filtering Algorithm Based on Permutation Entropy for Rolling Bearing Fault Diagnosis
inferred← citeshttps://doi.org/10.3390/e20120926openalex-snapshot
Rolling Element Bearing Fault Diagnosis by Combining Adaptive Local Iterative Filtering, Modified Fuzzy Entropy and Support Vector Machine
inferred← citeshttps://doi.org/10.3390/e21020152openalex-snapshot
Combining Multi-Scale Wavelet Entropy and Kernelized Classification for Bearing Multi-Fault Diagnosis
inferred← citeshttps://doi.org/10.3390/e21070680openalex-snapshot
A Comprehensive Fault Diagnosis Method for Rolling Bearings Based on Refined Composite Multiscale Dispersion Entropy and Fast Ensemble Empirical Mode Decomposition
inferred← citeshttps://doi.org/10.3390/e21100959openalex-snapshot
An Effective Bearing Fault Diagnosis Technique via Local Robust Principal Component Analysis and Multi-Scale Permutation Entropy
inferred← citeshttps://doi.org/10.3390/e21111061openalex-snapshot
Related Entropy Theories Application in Condition Monitoring of Rotating Machineries
inferred← citeshttps://doi.org/10.3390/e22010038openalex-snapshot
Analysis of Streamflow Complexity Based on Entropies in the Weihe River Basin, China
inferred← citeshttps://doi.org/10.3390/e22040375openalex-snapshot
Fault Diagnosis of a Rolling Bearing Based on Adaptive Sparest Narrow-Band Decomposition and RefinedComposite Multiscale Dispersion Entropy
inferred← citeshttps://doi.org/10.3390/e23020191openalex-snapshot
A Rolling Bearing Fault Classification Scheme Based on k-Optimized Adaptive Local Iterative Filtering and Improved Multiscale Permutation Entropy
inferred← citeshttps://doi.org/10.3390/e23091128openalex-snapshot
Intelligent Fault Diagnosis of Rolling-Element Bearings Using a Self-Adaptive Hierarchical Multiscale Fuzzy Entropy
inferred← citeshttps://doi.org/10.3390/e23111402openalex-snapshot
A Bearing Fault Diagnosis Method Based on PAVME and MEDE
inferred← citeshttps://doi.org/10.3390/e23121620openalex-snapshot
Multiscale Entropy Analysis of Short Signals: The Robustness of Fuzzy Entropy-Based Variants Compared to Full-Length Long Signals
inferred← citeshttps://doi.org/10.3390/e24050681openalex-snapshot
A Novel Method for Fault Diagnosis of Rotating Machinery
inferred← citeshttps://doi.org/10.3390/electronics10111248openalex-snapshot
Bearing Fault Classification Using Ensemble Empirical Mode Decomposition and Convolutional Neural Network
inferred← citeshttps://doi.org/10.3390/electronics13081576openalex-snapshot
Improved Fault Diagnosis of Roller Bearings Using an Equal-Angle Integer-Period Array Convolutional Neural Network
inferred← citeshttps://doi.org/10.3390/electronics14234568openalex-snapshot
Optimizing LSSVM for Bearing Fault Diagnosis Using Adaptive t-Distribution Slime Mold Algorithm
inferred← citeshttps://doi.org/10.3390/en15103608openalex-snapshot
Adaptive Local Mean Decomposition and Multiscale-Fuzzy Entropy-Based Algorithms for the Detection of DC Series Arc Faults in PV Systems
showing the first 200 of 226
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