Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Chengjiang Zhou"'
Autor:
Rong Zhang, Jiajun Sun, Yabin Xie, Wei Zhu, Meitong Tao, Yu Chen, Wei Xie, Rengui Bade, Shuyuan Jiang, Xiaolei Liu, Guo Shao, Weijun Pan, Chengjiang Zhou, Xiaoe Jia
Publikováno v:
Cell Death Discovery, Vol 10, Iss 1, Pp 1-9 (2024)
Abstract Damage to the ribosome or an imbalance in protein biosynthesis can lead to some human diseases, such as diabetic retinopathy (DR) and other eye diseases. Here, we reported that the kri1l gene was responsible for retinal development. The kri1
Externí odkaz:
https://doaj.org/article/6cbe64f4ee814633b472440f47ad1729
Publikováno v:
IEEE Access, Vol 12, Pp 43235-43244 (2024)
Utilizing Unmanned Aerial Vehicles (UAVs) plays a pivotal role in the localization of ground construction personnel targets within the specialized operational environments of the energy industry. To ensure the safety of personnel in these areas effec
Externí odkaz:
https://doaj.org/article/eb56ae1dc2534a368ec5f484386a01e1
Fault diagnosis method using MVMD signal reconstruction and MMDE-GNDO feature extraction and MPA-SVM
Autor:
Min Mao, Chengjiang Zhou, Bingwei Xu, Dongjin Liao, Jingzong Yang, Shuangyao Liu, Yiqing Li, Tong Tang
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
To achieve a comprehensive and accurate diagnosis of faults in rolling bearings, a method for diagnosing rolling bearing faults has been proposed. This method is based on Multivariate Variational Mode Decomposition (MVMD) signal reconstruction, Multi
Externí odkaz:
https://doaj.org/article/4a1bde8a0c854e2c90e40d0516946028
Publikováno v:
Modelling and Simulation in Engineering, Vol 2024 (2024)
To solve the problems of information loss and nonlinear transformation of hyperspectral image dimensionality reduction methods and the problem that recognition methods are sensitive to noise and cannot be trained online, a new hyperspectral image ide
Externí odkaz:
https://doaj.org/article/c2a1b241a3a34833bcd6d1c5ba4c90c8
Autor:
Rongrong Lu, Miao Xu, Chengjiang Zhou, Zhaodong Zhang, Shanyou He, Qihua Yang, Min Mao, Jingzong Yang
Publikováno v:
IEEE Access, Vol 11, Pp 113965-113994 (2023)
The vibration signal of rolling bearings is a nonlinear and non-stationary signal, which is affected by the working condition change and background noise, and the reliability of traditional feature extraction methods and fault identification methods
Externí odkaz:
https://doaj.org/article/ff28bb28927a436f924e5d4ae844a033
Autor:
Kai Yan, Quanjing Li, Hao Li, Haifeng Wang, Yuping Fang, Lin Xing, Yang Yang, Haicheng Bai, Chengjiang Zhou
Publikováno v:
IET Generation, Transmission & Distribution, Vol 16, Iss 9, Pp 1714-1726 (2022)
Abstract Workplace video surveillance and timely response to operational violations are critical to avoid operator injuries at power construction sites. Here, a system that combines remote substation construction management and artificial intelligenc
Externí odkaz:
https://doaj.org/article/d01972ca51a64430a66b4595e6472249
Publikováno v:
Journal of Electrical and Computer Engineering, Vol 2023 (2023)
In order to prevent the economic losses caused by large-scale power outages and the life safety losses caused by circuit failures, the main purpose of this paper is to improve the efficiency, accuracy, and reliability of transmission line defect dete
Externí odkaz:
https://doaj.org/article/ff526ddf9bad4aaeb859ccb0f4cc6bc8
A Fault Feature Extraction Method Based on Improved VMD Multi-Scale Dispersion Entropy and TVD-CYCBD
Publikováno v:
Entropy, Vol 25, Iss 2, p 277 (2023)
In modern industry, due to the poor working environment and the complex working conditions of mechanical equipment, the characteristics of the impact signals caused by faults are often submerged in strong background signals and noises. Therefore, it
Externí odkaz:
https://doaj.org/article/d499784ec3014cc590b614968d466ee5
Autor:
Ziyun Zhou, Chengjiang Zhou, Anning Pan, Fuqing Zhang, Chaoqun Dong, Xuedong Liu, Xiangshuai Zhai, Haitao Wang
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2213 (2023)
In order to quickly and accurately detect whether a chef is wearing a hat and mask, a kitchen standard dress detection method based on the YOLOv5s embedded model is proposed. Firstly, a complete kitchen scene dataset was constructed, and the introduc
Externí odkaz:
https://doaj.org/article/ffefb52b35854eef975fd764d229cef2
Publikováno v:
Entropy, Vol 24, Iss 11, p 1696 (2022)
For the problem that rolling bearing fault characteristics are difficult to extract accurately and the fault diagnosis accuracy is not high, an unsupervised characteristic selection method of refined composite multiscale fluctuation-based dispersion
Externí odkaz:
https://doaj.org/article/71dbeba65e9742159a2caaa0f908d32f