Fastformer: An Efficient Attention-Based Framework for Rapid Multi-Class Fault Diagnosis in High-End Equipment Vibration Signals. [PDF]
Entropy (Basel)Zhang X, Dai H, Zhou C, Shen Q.
europepmc +1 more source
An Enhanced Hybrid SVD-DBO-VMD Framework for Rolling Bearing Fault Feature Extraction Using Vibration Data. [PDF]
Sensors (Basel)Zhang C, Xu L, He X, Zhao Z, Zhao X.
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Analysis the Spike Wave of Double Channel MGG Signal based on Empirical Mode Decomposition
, 2014 The empirical mode decomposition (EMD) has been introduced quite recently to adaptively decompose non-stationary and/or nonlinear time series. Spike wave of the MGG signal is very important and standard diagnose method for medical and clinical research ...
Miao L(缪磊), Xu BL(徐保磊)
core
A Comparative Analysis of EWT and EMD Techniques in the Diagnosis of Major Depressive Disorder Using EEG: Asymmetry Features and Explainability via SHAP. [PDF]
Diagnostics (Basel)Gulenc NG, Koc G, Ozturk M.
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A Denoising Algorithm for Maglev Gyro Jump Data Based on Bayesian Ensemble Time-Series Segmentation. [PDF]
Sensors (Basel)Guo B +5 more
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Fault Feature Extraction of Rolling Bearings Based on Ordered Singular Spectrum Decomposition-Multipoint Optimal Minimum Entropy Deconvolution Adjusted. [PDF]
Entropy (Basel)Li L +5 more
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A hybrid transformer-BiLSTM model optimized with Firefly Algorithm for network traffic anomaly detection. [PDF]
PLoS OneLuo D +5 more
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The empirical mode decomposition (EMD) method in MT data processing [PDF]
, 2007 Chen, J., Jegen-Kulcsar, M.
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Estuarine salinity prediction using empirical mode decomposition and random forest for supporting water resource management. [PDF]
Sci RepKang Z +7 more
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Research on Signal Denoising of Pumped-Storage Units Based on Parameter-Adaptive VMD and Wavelet Thresholding. [PDF]
Sensors (Basel)Li T, Wu Y, Pei F.
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