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A Method for Constructing Automatic Rolling Bearing Fault Identification Model Based on Refined Composite Multi-Scale Dispersion Entropy



Bearing Fault Diagnosis Method Based on Ensemble Composite Multi-Scale Dispersion Entropy and Density Peaks Clustering



Refined Composite Multi-Scale Reverse Weighted Permutation Entropy and Its Applications in Ship-Radiated Noise



Intelligent Fault Diagnosis of Wind Turbine Gearbox based on Refined Generalized Multi-scale State Joint Entropy and RSFS Feature Selection



Multi-Feature Fusion-Based Mechanical Fault Diagnosis for On-Load Tap Changers in Smart Grid With Electric Vehicles



Composite Multi-Scale Basic Scale Entropy Based on CEEMDAN and Its Application in Hydraulic Pump Fault Diagnosis



Integrated approach for ball mill load forecasting based on improved EWT, refined composite multi-scale dispersion entropy and fireworks algorithm optimized SVM



A novel data-driven fault diagnosis method based on VMD-RCMFE-DDMA-BASSVM model for rolling bearings



The feasibility of predicting impending malignant ventricular arrhythmias by using nonlinear features of short heartbeat intervals



Cross-domain fault diagnosis of rolling bearing using similar features-based transfer approach



A novel feature extraction method for ship-radiated noise



Rolling Bearing Fault Diagnosis Based on Refined Composite Multi-Scale Approximate Entropy and Optimized Probabilistic Neural Network



Intelligent fault diagnosis of rolling bearings based on refined composite multi-scale dispersion q-complexity and adaptive whale algorithm-extreme learning machine



A Fault Feature Extraction Method for Rolling Bearings Based on Refined Composite Multi-Scale Amplitude-Aware Permutation Entropy



A method to identify wet ball mill’s load based on CEEMDAN, RCMDE and SRNN classification


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Composite Multi Scale 複合マルチスケール
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