|
|
|
|
|
Haoran Du, Jixin Wang, Wenjun Qian and Xunan Zhang
Variational modal decomposition (VMD) is frequently employed for both signal decomposition and extracting features; however, the decomposition outcome is influenced by the quantity of intrinsic modal functions (IMFs) and the specific parameter values of ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mingfei Wang, Xiangshu Kong, Feifei Shan, Wengang Zheng, Pengfei Ren, Jiaoling Wang, Chunling Chen, Xin Zhang and Chunjiang Zhao
Temperature has a significant impact on the production of edible mushrooms. The industrial production of edible mushrooms is committed to accurately maintaining the temperature inside the mushroom room within a certain range to achieve quality and effici...
ver más
|
|
|
|
|
|
|
|
|
|
|
Julien Touboul, Veronica Morales-Marquez and Kostas Belibassakis
The wave?current?seabed interaction problem is studied by using a coupled-mode system developed for modeling wave scattering by non-homogeneous, sheared currents in variable bathymetry regions. The model is based on a modal series expansion of wave veloc...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yansong Li, Yaning Chen, Yapeng Chen, Weili Duan, Jiayou Wang and Xu Wang
Global changes in drought and wetness and their future trends in arid regions have recently become a major focus of research attention. The Tarim River Basin (TRB) in Xinjiang, China, is among the most climate-sensitive regions in the world. This study u...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qi Liu, Peng Nie, Hualin Dai, Liyuan Ning and Jiaxing Wang
Convolutional neural networks (CNN) are widely used for structural damage identification. However, the presence of environmental disturbances introduces noise into the acquired acceleration response data, impairing the performance of CNN models. In this ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xiaolong Zhou, Xiangkun Wang, Haotian Wang, Linlin Cao, Zhongyuan Xing and Zhilun Yang
Rotor fault diagnosis has attracted much attention due to its difficulties such as non-stationarity of fault signals, difficulty in fault feature extraction and low diagnostic accuracy of small samples. In order to extract fault feature information of ro...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yujie Zhang, Lei Zhang, Duo Sun, Kai Jin and Yu Gu
Wind power generation is a renewable energy source, and its power output is influenced by multiple factors such as wind speed, direction, meteorological conditions, and the characteristics of wind turbines. Therefore, accurately predicting wind power is ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Fanhao Meng, Yong Ma, Yongjun Xia, Yimin Ma and Ming Jiang
This paper investigates system identification algorithms for modal identification of frame structures, such as a suspension bridge and an overhead transmission line-crossing frame, using ambient vibration measurements. The modal identification procedures...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qingliang Xiong, Mingping Liu, Yuqin Li, Chaodan Zheng and Suhui Deng
Due to difficulties with electric energy storage, balancing the supply and demand of the power grid is crucial for the stable operation of power systems. Short-term load forecasting can provide an early warning of excessive power consumption for utilitie...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shanshan Chen, Sheng Guan, Hui Wang, Ningqi Ye and Zexun Wei
Ship type identification is an important basis for ship management and monitoring. The paper proposed a new method of ship type identification by combining characteristic parameters from the energy difference between high and low frequencies and the sens...
ver más
|
|
|
|
|
|