Results 11 to 20 of about 590,374 (288)
IEEE Access, 2017 Effective signal processing methods are essential for machinery fault diagnosis. Most conventional signal processing methods lack adaptability, thus being unable to well extract the embedded meaningful information.
Zhipeng Feng, Dong Zhang, Ming J. Zuo
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The Optimal Selection of Mother Wavelet Function and Decomposition Level for Denoising of DCG Signal
Sensors, 2021 The aim of this paper is to find the optimal mother wavelet function and wavelet decomposition level when denoising the Doppler cardiogram (DCG), the heart signal obtained by the Doppler radar sensor system.
Young In Jang +3 more
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A Comparative Analysis of Signal Decomposition Techniques for Structural Health Monitoring on an Experimental Benchmark. [PDF]
Sensors (Basel), 2021 Civera M, Surace C.
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Analysis of rock microseismic signal based on blind source wavelet decomposition algorithm
AIP Advances, 2022 At present, microseismic technology is a widely used method for monitoring the rock burst phenomenon during the construction of deep-buried tunnels. The rock fracture in the tunnel will generate seismic waves.
Guili Peng +4 more
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Prediction of EV Charging Load Using Two-Stage Time Series Decomposition and DeepBiLSTM Model
IEEE Access, 2023 The fast adoption of electric vehicles (EVs) has resulted in a growing concern for the planning and operation of the distribution power system. Thus, it is crucial to comprehensively assess the influence of EV charging load on the distribution system. To
Chenghan Li +7 more
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Energies, 2022 High-power turbomachines are equipped with flexible rotors and journal bearings and operate above their first and sometimes even second critical speed.
Mateusz Zabaryłło, Tomasz Barszcz
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Tensor Decomposition for EEG Signals Retrieval [PDF]
2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 2019 Prior studies have proposed methods to recover multi-channel electroencephalography (EEG) signal ensembles from their partially sampled entries. These methods depend on spatial scenarios, yet few approaches aiming to a temporal reconstruction with lower loss.
Zehong Cao +4 more
openaire +3 more sources
Journal of Low Frequency Noise, Vibration and Active Control, 2020 Fault diagnosis of rolling bearings can effectively prevent sudden accidents and is an important factor for the safe operation of mechanical systems.
Haodong Li +5 more
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Codage des signaux par EMD [PDF]
, 2012 In this letter a new signals coding framework based on the Empirical Mode Decomposition (EMD) is introduced. The EMD breaks down any signal into a reduced number of oscillating components called Intrinsic Modes Decomposition (IMFs).
BOUDRAA, Abdel-Ouahab, KHALDI, Kais
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IEEE Access, 2023 In recent years, there has been growing research interest in the virtual integration of hardware and software assets across different geographical locations.
Elutunji Buraimoh +5 more
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