Zobrazeno 1 - 10
of 352
pro vyhledávání: '"Cheng, Liangliang"'
Autor:
Cheng, Liangliang1 (AUTHOR) j.de.groot.21@student.rug.nl, de Groot, Justin1 (AUTHOR), Xie, Kun1 (AUTHOR), Si, Yanxin1 (AUTHOR), Han, Xiaodong1 (AUTHOR)
Publikováno v:
Sensors (14248220). Jun2024, Vol. 24 Issue 11, p3541. 11p.
Autor:
Jin, Po, Zhang, Ya-nan, Li, Zhong, Zheng, Wanlu, Cheng, Liangliang, Li, Like, Li, Xuegang, Zhao, Yong
Publikováno v:
In Analytica Chimica Acta 22 June 2024 1309
Non-destructive testing on metallic turbine blades is a challenging task due to their complex geometry. Vibrational test-ing such as Process Compensated Resonance Testing (PCRT) has shown an efficient approach, which first measures the vibrational re
Externí odkaz:
http://arxiv.org/abs/2110.09099
Publikováno v:
Structural Health Monitoring, February 2022
Nowadays, using vibration data in conjunction with pattern recognition methods is one of the most common fault detection strategies for structures. However, their performances depend on the features extracted from vibration data, the features selecte
Externí odkaz:
http://arxiv.org/abs/2110.07191
Vibration-based techniques are among the most common condition monitoring approaches. With the advancement of computers, these approaches have also been improved such that recently, these approaches in conjunction with deep learning methods attract a
Externí odkaz:
http://arxiv.org/abs/2110.06601
Publikováno v:
Zhejiang dianli, Vol 42, Iss 8, Pp 84-91 (2023)
For the problem of autonomous inspection path planning of UAVs (unmanned aerial vehicles) on overhead lines, considering the time cost of access target of UAVs, the geometric mean of the line patrol time interval and the defect level is used
Externí odkaz:
https://doaj.org/article/a3b7a1f433c64a3289bfe3b582275a32
Publikováno v:
Structural Health Monitoring. April 2021
Achieving a high prediction rate is a crucial task in fault detection. Although various classification procedures are available, none of them can give high accuracy in all applications. Therefore, in this paper, a novel multi-classifier fusion approa
Externí odkaz:
http://arxiv.org/abs/2012.02481
Autor:
Zhang, Shihui *, Zhang, Chi *, Cai, Wenjia *, Bai, Yuqi, Callaghan, Max, Chang, Nan, Chen, Bin, Chen, Huiqi, Cheng, Liangliang, Dai, Hancheng, Dai, Xin, Fan, Weicheng, Fang, Xiaoyi, Gao, Tong, Geng, Yang, Guan, Dabo, Hu, Yixin, Hua, Junyi, Huang, Cunrui, Huang, Hong, Huang, Jianbin, Huang, Xiaomeng, Ji, John S, Jiang, Qiaolei, Jiang, Xiaopeng, Kiesewetter, Gregor, Li, Tiantian, Liang, Lu, Lin, Borong, Lin, Hualiang, Liu, Huan, Liu, Qiyong, Liu, Xiaobo, Liu, Zhao, Liu, Zhu, Liu, Yufu, Lu, Bo, Lu, Chenxi, Luo, Zhenyu, Ma, Wei, Mi, Zhifu, Ren, Chao, Romanello, Marina, Shen, Jianxiang, Su, Jing, Sun, Yuze, Sun, Xinlu, Tang, Xu, Walawender, Maria, Wang, Can, Wang, Qing, Wang, Rui, Warnecke, Laura, Wei, Wangyu, Wen, Sanmei, Xie, Yang, Xiong, Hui, Xu, Bing, Yan, Yu, Yang, Xiu, Yao, Fanghong, Yu, Le, Yuan, Jiacan, Zeng, Yiping, Zhang, Jing, Zhang, Lu, Zhang, Rui, Zhang, Shangchen, Zhang, Shaohui, Zhao, Mengzhen, Zheng, Dashan, Zhou, Hao, Zhou, Jingbo, Zhou, Ziqiao, Luo, Yong †, Gong, Peng *, †
Publikováno v:
In The Lancet Public Health December 2023 8(12):e978-e995
Vibration-based quality monitoring of manufactured components often employs pattern recognition methods. Albeit developing several classification methods, they usually provide high accuracy for specific types of datasets, but not for general cases. I
Externí odkaz:
http://arxiv.org/abs/2007.08789
Autor:
Cheng, Liangliang, Gu, Kuiying, Zhao, Liang, Wang, Huibin, Ji, John S., Liu, Zhao, Huang, Jianbin, Chen, Yidan, Gao, Xuejie, Xu, Ying, Wang, Can, Luo, Yong, Cai, Wenjia, Gong, Peng, Liang, Wannian, Huang, Cunrui
Publikováno v:
In Science Bulletin 30 November 2023 68(22):2827-2837