Fault Detection and Isolation of MEMS IMU Array Based on WOA-MVMD-GLT [PDF]
MicromachinesThe stable and accurate output of the inertial measurement unit array (IMU) of a micro-electro-mechanical system (MEMS) is the key to ensuring the data fusion of the MEMS IMU array.
Hanyan Li +4 more
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Remote Sensing, 2022 The GPR signals appear nonlinear and nonstationary during propagation. To evaluate the nonstationarity, the empirical mode decomposition (EMD) and its modifications have been proposed to localize the variations of energy and frequency components over ...
Xuebing Zhang +5 more
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A Novel Multivariate Cutting Force-Based Tool Wear Monitoring Method Using One-Dimensional Convolutional Neural Network [PDF]
Sensors, 2022 Tool wear condition monitoring during the machining process is one of the most important considerations in precision manufacturing. Cutting force is one of the signals that has been widely used for tool wear condition monitoring, which contains the ...
Xu Yang +4 more
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Exploring functional connectivity at different timescales with multivariate mode decomposition [PDF]
Frontiers in NeuroscienceThis paper explores an alternative way for analyzing static Functional Connectivity (FC) in functional Magnetic Resonance Imaging (fMRI) data across multiple timescales using a class of adaptive frequency-based methods referred to as Multivariate Mode ...
Manuel Morante +2 more
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Parallel fusion model for complex multi-source vibration time-series prediction [PDF]
Scientific ReportsAiming at the insufficient prediction accuracy caused by the non-stationary and multi-frequency coupling characteristics of complex multi-source vibration signals, this study proposes a parallel fusion prediction model that takes hyperparameter ...
Wei Huang, Jian Xu
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A High-Precision Short-Term Photovoltaic Power Forecasting Model Based on Multivariate Variational Mode Decomposition and Gated Recurrent Unit-Attention with Crested Porcupine Optimizer-Enhanced Vector Weighted Average Algorithm [PDF]
SensorsThe increasing reliance on renewable energy sources, such as photovoltaic (PV) systems, is pivotal for achieving sustainable development and addressing global energy challenges. However, short-term power forecasting for distributed PV systems often faces
Jinxiang Pian, Xianliang Chen
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A deep complementary learning framework for surface water temperature forecasting [PDF]
Scientific ReportsWater temperature plays a pivotal role in shaping riverine ecosystems, exerting significant influence on a range of water quality parameters. However, accurately forecasting multi-temporal daily data remains challenging due to the non-stationary and ...
Mehdi Jamei +6 more
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EnergiesShort-term load forecasting plays a crucial role in managing the energy consumption of buildings in cities. Accurate forecasting enables residents to reduce energy waste and facilitates timely decision-making for power companies’ energy management.
Haoda Ye, Qiuyu Zhu, Xuefan Zhang
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Short-term load forecasting using a metaheuristic optimized temporal fusion transformer with decomposition technique [PDF]
Frontiers in Artificial IntelligenceShort-term load forecasting plays a vital role in today's modern life to ensure the balance between energy demand and supply. Dynamic variations in weather and electricity consumption patterns can significantly influence load patterns, resulting in ...
Radhika Chandrasekaran +1 more
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Joint MVMD-based optimal feature selection and FW-LS-TWSVM for motor imagery recognition [PDF]
Scientific ReportsThe Motor Imagery-Brain Computer Interface (MI-BCI) system is an effective approach for motor neurorehabilitation training and human-machine collaborative control.
Jun Zhi +7 more
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