Results 151 to 160 of about 573 (180)
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MVMD-TCCA: A method for gesture classification based on surface electromyographic signals

Journal of Electromyography and Kinesiology
Gesture recognition plays a fundamental role in enabling nonverbal communication and interaction, as well as assisting individuals with motor impairments in performing daily tasks. Surface electromyographic (sEMG) signals, which can effectively detect and predict motor intentions, are integral to achieving accurate gesture classification.
Xiantao Sun
exaly   +3 more sources

Seismic Random Noise Separation and Attenuation Based on MVMD and MSSA

IEEE Transactions on Geoscience and Remote Sensing, 2022
Yijie Zhang, Yang Yang, Naihao Liu
exaly   +2 more sources

Protection strategy for fault detection in AC microgrid based on MVMD & differential CUSUM

International Journal of Emerging Electric Power Systems
Abstract In the era of smart grids and microgrids, the transformation of the traditional grid system brings many operational, technical, and economic benefits. However, the complexity of the network due to the integration of various distributed generations (DGs), continuous change of topology, and non-linear load make fault detection ...
Akash Abhisek   +2 more
exaly   +2 more sources

Milling process stability detection for curved workpiece based on MVMD and LSTM

International Journal of Advanced Manufacturing Technology, 2022
Hongyu Jin, Hongya Fu, Zhenyu Han
exaly   +2 more sources

An EEG Study of Virtual Reality Motion Sickness Based on MVMD Combined with Entropy Asymmetry

Lecture Notes in Electrical Engineering, 2023
Chengcheng Hua   +2 more
exaly   +2 more sources

Research on Rolling Bearing Fault Diagnosis based on MVMD Energy Entropy and ELM

2023 IEEE 6th Information Technology,Networking,Electronic and Automation Control Conference (ITNEC), 2023
Linlin Chen, Quan Chen, Fulong Liu
exaly   +2 more sources

Incipient fault feature extraction of rolling bearings based on the MVMD and Teager energy operator

ISA Transactions, 2018
Aiming at the problems that the incipient fault of rolling bearings is difficult to recognize and the number of intrinsic mode functions (IMFs) decomposed by variational mode decomposition (VMD) must be set in advance and can not be adaptively selected, taking full advantages of the adaptive segmentation of scale spectrum and Teager energy operator ...
Jun, Ma, Jiande, Wu, Xiaodong, Wang
openaire   +2 more sources

Multi-Channel Signal Denoising Method Based on Optimized MVMD Combined with Subspace Projection

2024 8th International Conference on Electrical, Mechanical and Computer Engineering (ICEMCE)
Man Jiang, Daqing Wang
exaly   +2 more sources

Research on Short-Term Wind Power Forecasting Based on MVMD-SSA-BiLSTM

2025 5th International Conference on Intelligent Power and Systems (ICIPS)
exaly   +2 more sources

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