Results 11 to 20 of about 2,001 (215)
IEEE Access, 2020 Mechanical signals are not only disturbed by Gaussian noise, but also by non-Gaussian noise. These Gaussian noise and non-Gaussian noise have gravely impeded detecting of rolling bearing defects using traditional methods.
Yonghua Jiang +5 more
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EEMD Independent Extraction for Mixing Features of Rotating Machinery Reconstructed in Phase Space
Sensors, 2015 Empirical Mode Decomposition (EMD), due to its adaptive decomposition property for the non-linear and non-stationary signals, has been widely used in vibration analyses for rotating machinery.
Zaichao Ma, Guangrui Wen, Cheng Jiang
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Frontiers in Chemistry, 2020 Over the last decade, molecules capable of emitting circularly polarized light have attracted growing attention for potential technological and biological applications.
Qin Yang, Marco Fusè, Julien Bloino
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An improved genetic algorithm for optimizing ensemble empirical mode decomposition method
Systems Science & Control Engineering, 2019 This paper proposes an improved ensemble empirical mode decomposition method based on genetic algorithm to solve the mode mixing problem in empirical mode decomposition (EMD) algorithm as well as the parameters selection issue in ensemble empirical mode ...
Dabin Zhang +3 more
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Frequency-Mixing Lasing Mode at European XFEL
Applied Sciences, 2021 We demonstrate generation of X-ray Free-Electron Laser (XFEL) pulses in frequency mixing mode at the SASE3 line of the European XFEL. The majority of the SASE3 FEL segments are tuned at two frequencies ω1 and ω2 following an alternate pattern. Leveraging
Gianluca Geloni +10 more
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Mixed mode matrix multiplication [PDF]
Proceedings. IEEE International Conference on Cluster Computing, 2003 In modern clustering environments where the memory hierarchy has many layers (distributed memory, shared memory layer, cache, ...), an important question is how to fully utilize all available resources and identify the most dominant layer in certain computation.
Wu, Meng-Shiou +2 more
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Transverse-mode coupling effects in scanning cavity microscopy
New Journal of Physics, 2019 Tunable open-access Fabry–Pérot microcavities enable the combination of cavity enhancement with high resolution imaging. To assess the limits of this technique originating from background variations, we perform high-finesse scanning cavity microscopy of ...
Julia Benedikter +4 more
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Energies, 2019 Empirical mode decomposition (EMD) is a widely used adaptive signal processing method, which has shown some shortcomings in engineering practice, such as sifting stop criteria of intrinsic mode function (IMF), mode mixing and end effect.
Zhongzhe Chen +3 more
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A Revised Hilbert–Huang Transform and Its Application to Fault Diagnosis in a Rotor System
Sensors, 2018 As a classical method to deal with nonlinear and nonstationary signals, the Hilbert–Huang transform (HHT) is widely used in various fields. In order to overcome the drawbacks of the Hilbert–Huang transform (such as end effects and mode mixing) during the
Hongjun Wang, Yongjian Ji
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Analysis of Vehicle Platform Vibration Based on Empirical Mode Decomposition
Shock and Vibration, 2021 Vehicle platform vibration (VPV) directly affects the measurement accuracy of precise measuring instrument (PMI) fixed on it. In order to reduce the influences of VPV on measurement accuracy, it is necessary to perform vibration isolation between vehicle
Chengwu Shen +5 more
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