Zobrazeno 1 - 10
of 88
pro vyhledávání: '"Xingwei WAN"'
Publikováno v:
Meitan kexue jishu, Vol 52, Iss S1, Pp 280-287 (2024)
The condition monitoring and fault diagnosis of the rolling bearings of the main fan in the mine are significant to the safety of coal mine production. The existing fault diagnosis methods of rolling bearing have the problems of insufficient training
Externí odkaz:
https://doaj.org/article/1b6a5eb64c2f47579a98962f010f4914
Publikováno v:
Entropy, Vol 25, Iss 8, p 1233 (2023)
Rolling bearings are crucial parts of primary mine fans. In order to guarantee the safety of coal mine production, primary mine fans commonly work during regular operation and are immediately shut down for repair in case of failure. This causes the s
Externí odkaz:
https://doaj.org/article/614493f411574a38a94d93fa602b92e8
Publikováno v:
Sensors, Vol 19, Iss 4, p 769 (2019)
This paper presents a method for calculating the health degree (HD) of a braking system of a mine hoist combined with three-level fuzzy comprehensive assessment (TLFCA) and a back-propagation neural network (BPNN). Firstly, the monitored values of a
Externí odkaz:
https://doaj.org/article/760003a108e34b97a18e4ade1a7b873f
Publikováno v:
2022 IEEE 5th International Conference on Information Systems and Computer Aided Education (ICISCAE).
Publikováno v:
IEEE Sensors Journal. 21:4839-4854
Recognition of malposition and location of high-temperature forgings play a critical role in the realisation of robotised die forging, which is an ongoing trend in intelligent manufacturing. This study is aimed at the robotised die forging of the scr
Publikováno v:
Digital Communications and Networks, Vol 10, Iss 2, Pp 328-336 (2024)
The rapid development of 5G/6G and AI enables an environment of Internet of Everything (IoE) which can support millions of connected mobile devices and applications to operate smoothly at high speed and low delay. However, these massive devices will
Externí odkaz:
https://doaj.org/article/efffcd4c51434a62861f3fd266368e2d
Autor:
Xingwei Wang, Chaoyang Zhang, Chen Zhao, Yijing Liang, Ming Zhang, Wufang Yang, Bo Yu, Qiangliang Yu, Meirong Cai, Feng Zhou, Weimin Liu
Publikováno v:
Friction, Vol 12, Iss 5, Pp 884-896 (2024)
Abstract Developing functional additive resistant to space atomic oxygen (AO) irradiation through simple molecular design and chemical synthesis to enhance the lubricating performance of multialkylated cyclopentanes (MACs) oil is a significant challe
Externí odkaz:
https://doaj.org/article/165682bc72e04f199e5c914f0e9a7703
Autor:
Xiaotong Wu, Ying Liu, Yunlei Zhang, Xingwei Wang, Wufang Yang, Lang Jiang, Shuanhong Ma, Meirong Cai, Feng Zhou
Publikováno v:
Friction, Vol 12, Iss 2, Pp 231-244 (2023)
Abstract Surface wettability plays a significant role in reducing solid-liquid frictional resistance, especially the superhydrophilic/hydrophilic interface because of its excellent thermodynamic stability. In this work, poly(acrylic acid)-poly(acryla
Externí odkaz:
https://doaj.org/article/e60b9104160440139f821c309065e6d6
Publikováno v:
Mathematics, Vol 12, Iss 17, p 2769 (2024)
Influence maximization in online social networks is used to select a set of influential seed nodes to maximize the influence spread under a given diffusion model. However, most existing proposals have huge computational costs and only consider the dy
Externí odkaz:
https://doaj.org/article/219ed7088cb64108ab1fb6de769f46e9
Publikováno v:
Sensors (Basel, Switzerland)
Sensors, Vol 19, Iss 4, p 769 (2019)
Sensors
Volume 19
Issue 4
Sensors, Vol 19, Iss 4, p 769 (2019)
Sensors
Volume 19
Issue 4
This paper presents a method for calculating the health degree (HD) of a braking system of a mine hoist combined with three-level fuzzy comprehensive assessment (TLFCA) and a back-propagation neural network (BPNN). Firstly, the monitored values of a