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Wenhao Sun, Yidong Zou, Yunhe Wang, Boyi Xiao, Haichuan Zhang and Zhihuai Xiao
In the practical production environment, the complexity and variability of hydroelectric units often result in a need for more fault data, leading to inadequate accuracy in fault identification for data-driven intelligent diagnostic models. To address th...
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Fengyun Xie, Gang Li, Hui Liu, Enguang Sun and Yang Wang
In the context of addressing the challenge posed by limited fault samples in agricultural machinery rolling bearings, especially when early fault characteristics are subtle, this study introduces a novel approach. The proposed multi-domain fault diagnosi...
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Weicheng Sun, Zhenqun Guan, Yan Zeng, Jiacheng Pan and Zhonghai Gao
This paper designed a bolt-loosening Support Vector Machines? conduct detection method with feature vectors comprising eigenvalue decomposition based on Variational Modal Decomposition (VMD) and Singular Value Decomposition (SVD), combined with permutati...
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Junjie Chen, Wei Yang, Chenqi Liu and Leiyue Yao
In recent years, skeleton-based human action recognition (HAR) approaches using convolutional neural network (CNN) models have made tremendous progress in computer vision applications. However, using relative features to depict human actions, in addition...
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Ben Emukufia Akpoyomare Oghojafor,Sunday Adekunle Aduloju
Pág. 249 - 260
Due to the growing level of dissatisfaction with the traditional models of governance established by the state, international governance initiatives have attracted more attention. This exploratory study is aimed at finding out the level of awarenes...
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