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Titlebook: Recent Featured Applications of Artificial Intelligence Methods. LSMS 2020 and ICSEE 2020 Workshops; Workshops of the 6th Minrui Fei,Kang L

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樓主: quick-relievers
21#
發(fā)表于 2025-3-25 07:15:01 | 只看該作者
Study on the Modeling and Online SOC Estimation of the Aluminum Air Battery aluminum air battery management system. First, the relation curve between open circuit voltage and SOC is calibrated by discharging experiments under different rates. Then, an equivalent circuit parameter identification method by recursive least square method with forgetting factor is presented to
22#
發(fā)表于 2025-3-25 07:39:32 | 只看該作者
23#
發(fā)表于 2025-3-25 12:48:08 | 只看該作者
24#
發(fā)表于 2025-3-25 15:48:46 | 只看該作者
Robust Stability of Single Phase PWM Rectifier Based on , Loop Shapingd voltage, as well as malfunctions and faults of switching devices and sensors. With the introduction of vehicular electronic transformers, fragile power-electronics is directly connected to the grid, even though with a filtering coil. This makes the afore mentioned problems much more serious. Thus
25#
發(fā)表于 2025-3-25 19:59:02 | 只看該作者
State Identification of Three-Trans Towers’ Bolts Based on Quadratic Wavelet Transform and KNNibration response signal of bolts are very weak, which is difficult to identify the bolts’ state. In order to avoid man-made damage to the tower and realize the identification of bolt state under natural vibration conditions, a state identification method based on quadratic wavelet transform and KNN
26#
發(fā)表于 2025-3-26 02:07:36 | 只看該作者
27#
發(fā)表于 2025-3-26 05:26:34 | 只看該作者
28#
發(fā)表于 2025-3-26 09:30:47 | 只看該作者
Bearing Fault Diagnosis Based on Variational Mode Decomposition and Modified CNNroposes a fault diagnosis method based on variational mode decomposition (VMD) and modified convolution neural network (CNN). Firstly, in the process of eigenvalue extraction, VMD decomposition is used to extract more fault feature details of rolling bearing vibration signals; then, dense block and
29#
發(fā)表于 2025-3-26 14:40:43 | 只看該作者
30#
發(fā)表于 2025-3-26 19:00:23 | 只看該作者
Research on Home Energy Optimization Strategy Based on Micro-sized Combined Heat and Powerration mode of mCHP are introduced. Then, the load and user comfort of household energy microgrid are modeled. Finally, the optimal scheduling model of household energy was established with the goal of low energy cost, which provides the optimized scheme for the comprehensive utilization of natural gas and electric energy for household users.
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