Results 11 to 20 of about 1,309,182 (144)
Intelligent Fault Diagnosis of Rolling Bearings Based on a Complete Frequency Range Feature Extraction and Combined Feature Selection Methodology [PDF]
Sensors, 2023 The utilization of multiscale entropy methods to characterize vibration signals has proven to be promising in intelligent diagnosis of mechanical equipment.
Zhengkun Xue +4 more
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Shock and Vibration, 2020 Multiscale fluctuation dispersion entropy (MFDE) has been proposed to measure the dynamic features of complex signals recently. Compared with multiscale sample entropy (MSE) and multiscale fuzzy entropy (MFE), MFDE has higher calculation efficiency and ...
Fuming Zhou +3 more
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Jixie chuandong, 2021 When the gearbox fails， its vibration signal is unstable and nonlinear. The commonly applied gearbox fault diagnosis methods are almost all based on the single-channel vibration signal analysis，which is easy to cause the loss of fault information，so the ...
Fuming Zhou +4 more
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A feature-optimized EEG framework using multiscale entropy and metaheuristic optimization for cognitive analysis [PDF]
Frontiers in Artificial IntelligenceBackgroundCognitive activity plays an important role by influencing working-memory, problem-solving, attention, response and decision making. EEG serves as a non-invasive approach to analyze neural activity associated with cognitive processing.
Keerthika N., Kiruthika V.
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Application of FCEEMD-TSMFDE and adaptive CatBoost in fault diagnosis of complex variable condition bearings [PDF]
Scientific ReportsThe mode mixing problem and inherent mode function selection bias in Fast Ensemble Empirical Mode Decomposition (FEEMD) result in ineffective extraction of fault components during the denoising stage, the loss of coarse-grained information in Multiscale ...
Min Mao +7 more
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Fault Diagnosis of Planetary Gearbox Based on Hierarchical Refined Composite Multiscale Fuzzy Entropy and Optimized LSSVM. [PDF]
Entropy (Basel)Efficient extraction and classification of fault features remain critical challenges in planetary gearbox fault diagnosis. A fault diagnosis framework is proposed that integrates hierarchical refined composite multiscale fuzzy entropy (HRCMFE) for ...
Xia X, Wang X.
europepmc +2 more sources
Complexity Analysis of Three-Dimensional Fractional-Order Chaotic System Based on Entropy Theory
IEEE Access, 2021 Complexity analysis of fractional-order chaotic system is an interesting topic in recent years. How to measure the complexity of fractional-order chaotic system correctly and effectively is the basis of its theoretical analysis and engineering ...
Guohui Li, Xiangyu Zhang, Hong Yang
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Earth, Planets and Space, 2021 Magnetotelluric (MT) data processing can increase the reliability of measured data. Traditional MT data denoising methods are usually applied to entire MT time-series, which results in the loss of useful MT signals and a decrease of imaging accuracy of ...
Xian Zhang +5 more
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IEEE Access, 2020 This study aims to improve the accuracy of detecting acute tonic cold pain (CP) perception from microwave transcranial transmission (MTT) signals. Two different types of CP and no-pain (NP) MTT signals are obtained from 15 subjects. Four features, namely,
Daoshuang Geng +3 more
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