Zobrazeno 1 - 10
of 632
pro vyhledávání: '"LI Tianfu"'
Development of radioactive sample measurement device for small-angle neutron scattering spectrometer
Autor:
HU Wenyao, YAN Shibo, LI Tianfu, WANG Zijun, CHEN Zhong, LIU Rongdeng, WANG Chenglong, HE Xinfu, RAN Huaichang, SUN Kai, CHEN Dongfeng
Publikováno v:
He jishu, Vol 47, Iss 6, Pp 060202-060202 (2024)
BackgroundThe study of irradiated samples is of considerable importance. Owing to these samples being radioactive, the applicability of conventional characterization methods is limited. Because of the high sensitivity of 3He detectors to neutrons, th
Externí odkaz:
https://doaj.org/article/574429430a1844a7a2b49a9c2d684479
Application of combined test string of RD bypass pressure test valve and RD safety circulation valve
Autor:
Li Tianfu
Publikováno v:
E3S Web of Conferences, Vol 352, p 01029 (2022)
At present, in the test construction of high temperature, high pressure and high hydrogen sulfide wells, in order to simplify the pipe string structure and improve the process success rate, the combination of RD safety circulation valve and OMNI mult
Externí odkaz:
https://doaj.org/article/10f636e928804661b27be51ded9d31a8
Reliable fault detection is an essential requirement for safe and efficient operation of complex mechanical systems in various industrial applications. Despite the abundance of existing approaches and the maturity of the fault detection research fiel
Externí odkaz:
http://arxiv.org/abs/2307.10676
The application of unsupervised domain adaptation (UDA)-based fault diagnosis methods has shown significant efficacy in industrial settings, facilitating the transfer of operational experience and fault signatures between different operating conditio
Externí odkaz:
http://arxiv.org/abs/2307.01429
Publikováno v:
IEEE Transactions on Cybernetics,2023
Intelligent fault diagnosis has been increasingly improved with the evolution of deep learning (DL) approaches. Recently, the emerging graph neural networks (GNNs) have also been introduced in the field of fault diagnosis with the goal to make better
Externí odkaz:
http://arxiv.org/abs/2303.14958
Autor:
Chen, Yu, Wang, Xiaoyu, Zhou, Jing, Wang, Ganlin, Gao, Tingting, Wei, Hai, Che, Yurui, Li, Tianfu, Zhang, Zhenglin, Wang, Shuxian, Hu, Lingmin, Lu, Renjie
Publikováno v:
In Ecotoxicology and Environmental Safety 1 October 2024 284
Autor:
Li, Xiaofei, Li, Tianfu, Jeyakumar, Paramsothy, Li, Jiayi, Bao, Yanping, Jin, Xiaohu, Zhang, Jun, Guo, Chuling, Jiang, Xueding, Lu, Guining, Dang, Zhi, Wang, Hailong
Publikováno v:
In Journal of Hazardous Materials 5 September 2024 476
Autor:
Baqing, Libumo, He, Xiaojian, Ni, Qijia, Zhang, Hanwen, Li, Tianfu, Lin, Xueyuan, Guo, Tao, Garba, Bello Mubarak, Chen, Xintao, Zhang, Jiwen, Peng, Can, Wang, Caifen, Wu, Li
Publikováno v:
In Carbohydrate Polymers 15 August 2024 338
Publikováno v:
In Nuclear Analysis March 2024 3(1)
Autor:
Zhang, Bo, Wang, Xiongfei, Wang, Jing, Wang, Mengyang, Guan, Yuguang, Liu, Zhao, Zhang, Yao, Zhao, Meng, Ding, Haoran, Xu, Ke, Deng, Jiahui, Li, Tianfu, Luan, Guoming, Zhou, Jian
Publikováno v:
In World Neurosurgery September 2024