Gearbox Fault Diagnosis Based on Adaptive Variational Mode Decomposition–Stationary Wavelet Transform and Ensemble Refined Composite Multiscale Fluctuation Dispersion Entropy by Xiang Wang, Yang Du, Xiaoting Ji

“…This paper proposes a method for gearbox fault diagnosis based on adaptive variational mode decomposition–stationary wavelet transform (AVMD-SWT) and ensemble refined composite multiscale fluctuation dispersion entropy (ERCMFDE). …”
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Fault Feature Extraction of Gearbox based on Adaptive VMD by Wenyao Li, Wengang Yang

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Composite Noise Reduction Method for Internal Leakage Acoustic Emission Signal of Safety Valve Based on IWTD-IVMD Algorithm by Shuxun Li, Xiaoqi Meng, Jianjun Hou, Kang Yuan, Xiaoya Wen

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A novel fault diagnosis method for gearbox based on RVMD and TELM with composite chaotic grey wolf optimizer by Xuebin Huang, Anfeng Xu, Hongbing Liu, Bingcheng Ye

Subjects: “…Robust variational mode decomposition…”
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Prediction of Gait Neurodegenerative Diseases by Variational Mode Decomposition Using Machine Learning Algorithms by P. Visvanathan, P.M. Durai Raj Vincent

“…The proposed research work is developed using the gait neurodegenerative data composed of gait signals collected from physionet database. The composite non stationary and nonlinear gait signals are decomposed into different modes of Intrinsic Mode Function (IMF) using Variational Mode Decomposition (VMD). …”
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TO DETERMINATION OF INFLUENCE FOR VARIATIONS IN LASER TREATMENT MODES ON TRIBOLOGICAL CHARACTERISTICS OF CUTTING TOOL by O. V. Diachenko, M. A. Kardapolova, O. V. Seriakova

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Crude Oil Futures Price Forecasting Based on Variational and Empirical Mode Decompositions and Transformer Model by Linya Huang, Xite Yang, Yongzeng Lai, Ankang Zou, Jilin Zhang

“…More specifically, we employ the VMD technique to decompose the original sequence into variational mode filtering (VMF) and a residual sequence, followed by using EMD to decompose the residual sequence. …”
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Synoptic Variation Drives Genetic Diversity and Transmission Mode of Airborne DNA Viruses in Urban Space by Aihua Deng, Junyue Wang, Lai Li, Ruilin Shi, Xuemin Li, Tingyi Wen

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Tensile Mechanical Properties and Failure Modes of a Basalt Fiber/Epoxy Resin Composite Material by Jingjing He, Junping Shi, Xiaoshan Cao, Yifeng Hu

“…Uniaxial tensile tests of basalt fiber/epoxy (BF/EP) composite material with four different fiber orientations were conducted under four different fiber volume fractions, and the variations of BF/EP composite material failure modes and tensile mechanical properties were analyzed. …”
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GEAR FAULT DIAGNOSIS BASED ON THE VMD AND MODULATION SPECTRUM INTENSITY DISTRIBUTION by ZHANG SuoFeng, WANG YanXue, HE ShuiLong, HU ChaoFan, JIANG ZhanSi

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Damage Characteristics in Glass Fiber-Reinforced Epoxy Resin Composites Under Continuous Wave and Pulsed Laser Modes by Xue Zhang, Jian Peng, Tengfei Li, Jing Xiao, Guiyong Chen, Yanjun Tang, Miao He, Jinghua Han

“…Different laser modes produce significantly different effects. In this study, we have mainly considered the ablation and damage characteristics of composite materials affected by continuous wave (CW) and pulsed laser (PL) modes. …”
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Non-Singular Fast Terminal Composite Sliding Mode Control of Marine Permanent Magnet Synchronous Propulsion Motors by Zhaoting Liu, Xi Wang, Peng Zhou, Liantong An, Zhengwei Zhao, Baozhu Jia, Yuanyuan Xu

“…Regarding the high susceptibility problem of the Permanent Magnet Synchronous Motor (PMSM) to various uncertain factors, including load variations, parameter perturbations, and external interferences in the ship’s electric propulsion system, this paper presents a non-singular fast terminal composite sliding mode control (NFTCSMC) strategy based on the improved exponential reaching law. …”
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The Effects of Combined Versus Single-Mode Resistance and Repeated Sprint Training on Physical Fitness, Hematological Parameters, and Plasma Volume Variations in Highly Trained Soc... by Abderraouf Ben Abderrahman, Ali Aloui, Nidhal Jebabli, Iyed Salhi, Jihen Khalfoun, Mohaned Omar, Cain C. T. Clark, Bogdan-Constantin Ungurean, Urs Granacher, Hassane Zouhal

“…Objective: We examined the effects of eight weeks of single-mode resistance, repeated sprint training, and the combination of the two programs on selected measures of physical fitness (muscle power, speed, and body composition), hematological parameters, and plasma volume variations in highly trained soccer players. …”
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Experimental study on mechanical properties of composite materials of concrete and foamed cement under uniaxial compression by Yue Cao, Zheng Kong, Yadong Zheng, Zhijun Xu, Lianhai Tai, Chong Li, Peng Wu

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Modes of occurrence and influencing factors of lithium in Li-rich coal from the Jungar coalfield, China, insights of LA-ICP-MS by Huidi Hao, Bo Jiu, Wenhui Huang, Mingzhe Sun

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Electricity pinch analysis method for flexibility supply-demand matching in power systems by Yaling Mao, Tiejiang Yuan, Xueqin Tian, Yue Teng

“…First, the net-load profile is decomposed by successive variational mode decomposition (SVMD) optimized with the Red-billed Blue Magpie Optimization (RBMO) algorithm to construct a flexibility demand model. …”
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Size Effect on the Damaged Areas of Glass/Epoxy Structures under Low Velocity Impact by M. Shokrieh, F. Taheri-Behrooz, H. Haftchenari, M. Mozafari

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A Lithium Niobate (LiNbO₃) - Chalcogenide-Based Thin Film Composite Asymmetric Y-Type On-Chip Wavelength Division Multiplexer by Bowen Liu, Nuo Xu, Wanqi Guo, Xinyue Liu, Baoan Song

“…This study presents an on-chip dual-mode multiplexer based on a lithium niobate-sulfide thin-film composite adiabatic coupler. …”
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Short-term Wind Power Forecasting Based on BWO‒VMD and TCN‒BiGRU by LU Jing, ZHANG Yanru, WANG Rui

“…Given the instability and high volatility of wind power generation, this study proposes a short-term wind power prediction method based on BWO‒VMD and TCN‒BiGRU to improve the accuracy of wind power prediction and better support the energy transition under the “dual carbon” strategy.MethodsA short-term wind power generation prediction model based on the beluga whale optimization (BWO) algorithm, variational mode de-composition (VMD), temporal convolutional network (TCN), and bidirectional gated recurrent unit (BiGRU) was carefully proposed to improve the prediction accuracy of wind power generation, particularly considering its inherent instability and high volatility. …”
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The Effect of Curing Mode on the Parameters of Molecular Meshes of Epoxy and Polyester Copolymers by Irina N. Vikhareva

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