Results 111 to 120 of about 5,511 (164)
Efficient molecular dynamics using geodesic integration and solvent-solute splitting. [PDF]
Proc Math Phys Eng Sci, 2016 Leimkuhler B, Matthews C.
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IEEJ Transactions on Electrical and Electronic Engineering, 2021 During the operation of the power transformer, the fault location often occurs in the winding, and the fault phenomenon caused by insufficient short‐circuit withstand ability of the winding is particularly prominent. Based on this problem, this article proposes an improved symplectic geometry mode decomposition (ISGMD) algorithm to evaluate the short ...
Jiaxu Wang, Jian Guo
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ISA Transactions, 2023 Strong noise interference or compound fault coupling phenomenon may lead to the failure of fault diagnosis technology. This paper focuses on weak feature extraction and compound faults detection for rotating machinery fault diagnosis and proposes adaptive symplectic geometric mode decomposition (SGMD) using cycle kurtosis entropy.
Jianchun Guo, Zetian Si, Jiawei Xiang
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Measurement, 2020 Abstract Autogram is an effective optimal frequency band selection method, in which the signal spectrum is divided by the maximum overlapping discrete wavelet packet transform (MODWPT) and the position of maximum kurtosis value is used as the optimal frequency band.
Xinglong Wang +4 more
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Output-Only Structural System Identification Based on Symplectic Geometry Mode Decomposition
Volume 1: Acoustics, Vibration, and Phononics, 2021 Abstract In this paper, a novel output-only structural system identification method is proposed based on the decomposition of the response signal by applying newly developed symplectic geometry mode decomposition (SGMD). The SGMD can decompose the output signal into a limited of single component signals which are also called symplectic ...
Pengming Zhan +3 more
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Measurement, 2021 Abstract On line lubricating oil debris measurement is an efficient way to judge the operating status of a machine, and the inductive oil debris sensor is widely adopted. Considering the debris sensor works in a harsh environment, it is a challenge work to reduce or separate the noise via signal processing, especially for the requirements of ...
Bing Yu, Nan Cao, Tianhong Zhang
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IEEE Transactions on Instrumentation and Measurement, 2023 In the presence of noise interference, direction of arrival (DOA) estimation becomes challenging. Particularly, when radar signals are entirely submerged in noise, the spatial information within the signals becomes obscured, thereby affecting the precision of DOA estimation.
Zhaolin Zhang +4 more
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Measurement, 2020 Abstract A novel fault diagnosis procedure based on improved symplectic geometry mode decomposition (SGMD) and optimized SVM is presented. In the proposed procedure, a vibration signal is firstly decomposed by SGMD into a set of components. Then a novel constraint condition based on cosine similarity is proposed to reconstruct the decomposed ...
Xiaoyuan Zhang +3 more
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Mechanical Systems and Signal Processing, 2018 Abstract Various existed time-series decomposition methods, including wavelet transform, ensemble empirical mode decomposition (EEMD), local characteristic-scale decomposition (LCD), singular spectrum analysis (SSA), etc., have some defects for nonlinear system signal analysis.
Haiyang Pan +4 more
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