122   Artículos

 
en línea
Zhenyu Yin, Feiqing Zhang, Guangyuan Xu, Guangjie Han and Yuanguo Bi    
Confronting the challenge of identifying unknown fault types in rolling bearing fault diagnosis, this study introduces a multi-scale bearing fault diagnosis method based on transfer learning. Initially, a multi-scale feature extraction network, MBDCNet, ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Yifei Xu, Te Li, Min Xu, Ling Tan and Shuanghe Shen    
Climate change exerts significant impacts on regional agricultural production. This study assesses the implications of climate change on winter wheat yields in the Huang-Huai-Hai Plain (3H Plain), utilizing bias-corrected climate projections from the Cou... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Vadim Palchikovskiy, Aleksandr Kuznetsov, Igor Khramtsov and Oleg Kustov    
A comparison is considered of the experimentally obtained impedance of locally reacting acoustic liner samples with the impedance calculated using semi-empirical Goodrich, Sobolev and Eversman models. The semi-empirical impedance models are outlined. In ... ver más
Revista: Acoustics    Formato: Electrónico

 
en línea
Weijie Li, Changxia Liang, Fan Yang, Bo Ai, Qingtong Shi and Guannan Lv    
There are some limitations in traditional ocean scalar field visualization methods, such as inaccurate expression and low efficiency in the three-dimensional digital Earth environment. This paper presents a spherical volume-rendering method based on adap... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Hongmei Zhang, Zhijie Li, Zishang Yang, Chenhui Zhu, Yinhai Ding, Pengchang Li and Xun He    
Real-time knowledge of kernel breakage during corn harvesting plays a significant role in the adjustment of operational parameters of corn kernel harvesters. (1) Transfer learning by initializing the DenseNet121 network with pre-trained weights for train... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Zuoxin Wang and Xiaohu Zhao    
Most current non-intrusive load monitoring methods focus on traditional load characteristic analysis and algorithm optimization, lack knowledge of users? electricity consumption behavior habits, and have poor accuracy. We propose a novel attention-guided... ver más
Revista: Information    Formato: Electrónico

 
en línea
Erkan Danaci, Yusuf Bayrak, Anil Cetinkaya, Murat Arslan, Handan Sakarya, Aliye Kartal Dogan and Gulsun Tunay    
Radio Frequency (RF) power sensor calibration is one of the essential measurements in RF and microwave metrology. For a reliable and accurate power sensor calibration, there are various methods, such as the substitution method, the direct comparison tran... ver más
Revista: Instruments    Formato: Electrónico

 
en línea
Haitao Luo, Ziyang Liu, Chaohui Fan and Fengqun Zhao    
When the problem of the reaction force under the receiver structure is complicated, the existing force-based transfer path analysis method is not suitable for its analysis. Therefore, an improved reaction force transfer path analysis method is proposed i... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Kirill Suslov, Maksim Shirobokov and Anastasia Tselousova    
This paper explores the use of the averaging method in the optimal control problem related to the multirevolution orbital transfer of a spacecraft with low-thrust capabilities. The regularized equations of motion are expressed using modified equinoctial ... ver más
Revista: Aerospace    Formato: Electrónico

 
en línea
Luigi Gianpio Di Maggio, Eugenio Brusa and Cristiana Delprete    
The Intelligent Fault Diagnosis of rotating machinery calls for a substantial amount of training data, posing challenges in acquiring such data for damaged industrial machinery. This paper presents a novel approach for generating synthetic data using a G... ver más
Revista: Applied Sciences    Formato: Electrónico

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