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Chinese Academy of Sciences Institutional Repositories Grid
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浏览/检索结果: 共10条,第1-10条 帮助

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Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation 期刊论文  OAI收割
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 932-945
作者:  
Bin Yang;  Yaguo Lei;  Xiang Li;  Naipeng Li;  Asoke K. Nandi
  |  收藏  |  浏览/下载:22/0  |  提交时间:2024/03/18
A Lifetime Management Framework for SOTIF-Oriented Vehicle Dynamics Control: A Data-Driven Approach 期刊论文  OAI收割
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 卷号: 9, 期号: 1, 页码: 48-51
作者:  
Chen, Jicheng;  Liang, Jingguo;  Teng, Siyu;  Zhang, Hui;  Wang, Fei-Yue
  |  收藏  |  浏览/下载:14/0  |  提交时间:2024/07/22
Label propagation-based unsupervised domain adaptation for intelligent fault diagnosis 期刊论文  OAI收割
JOURNAL OF INTELLIGENT MANUFACTURING, 2023, 页码: 18
作者:  
Wang, Huanjie;  Li, Yuan;  Bai, Xiwei;  Li, Jingwei;  Tan, Jie
  |  收藏  |  浏览/下载:31/0  |  提交时间:2023/11/17
Intelligent fault diagnosis of train bearing based on ISTOA-VMD and SE-WDCNN 期刊论文  OAI收割
JOURNAL OF VIBRATION AND CONTROL, 2023, 页码: 12
作者:  
He, Deqiang;  Zou, Xueyan;  Jin, Zhenzhen;  Yan, Jingren;  Ren, Chonghui
  |  收藏  |  浏览/下载:19/0  |  提交时间:2023/12/07
Cross-Level fusion for rotating machinery fault diagnosis under compound variable working conditions 期刊论文  OAI收割
MEASUREMENT, 2022, 卷号: 199, 页码: 7
作者:  
  |  收藏  |  浏览/下载:44/0  |  提交时间:2022/07/25
Intelligent Fault Diagnosis for Bearings of Industrial Robot Joints under Varying Working Conditions Based on Deep Adversarial Domain Adaptation 期刊论文  OAI收割
IEEE Transactions on Instrumentation and Measurement, 2022, 卷号: 71, 页码: 1-13
作者:  
Xia BJ(夏冰洁);  Wang K(王锴);  Xu AD(徐皑冬);  Zeng P(曾鹏);  Yang N(杨楠)
  |  收藏  |  浏览/下载:83/0  |  提交时间:2022/03/31
An Artificial Intelligent Signal Amplification System for in vivo Detection of miRNA 期刊论文  OAI收割
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2019, 卷号: 7, 页码: 15
作者:  
Ma, Xibo;  Chen, Lei;  Yang, Yingcheng;  Zhang, Weiqi;  Wang, Peixia
  |  收藏  |  浏览/下载:55/0  |  提交时间:2020/03/30
Research on the fault diagnosis and self-healing technology of unattended Antarctic telescope 会议论文  OAI收割
SPIE Ground-based and Airborne Telescopes VII(Vol.10700), Austin, Texas, United States, 2018-6-10
作者:  
Yun Li;  Shihai Yang
  |  收藏  |  浏览/下载:39/0  |  提交时间:2019/02/12
Study on color difference estimation method of medicine biochemical analysis (EI CONFERENCE) 会议论文  OAI收割
ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China
作者:  
Zhou Y.;  Zhou F.;  Wang C.
收藏  |  浏览/下载:33/0  |  提交时间:2013/03/25
The biochemical analysis in medicine is an important inspection and diagnosis method in hospital clinic. The biochemical analysis of urine is one important item. The Urine test paper shows corresponding color with different detection project or different illness degree. The color difference between the standard threshold and the test paper color of urine can be used to judge the illness degree  therefore  it can be used in hospital  so that further analysis and diagnosis to urine is gotten. The color is a three-dimensional physical variable concerning psychology  the estimation method of color difference in urine test can have better precision and facility than the conventional test method with one-dimensional reflectance  calibrating organization and family  while reflectance is one-dimensional variable  it can make an accurate diagnose. The digital camera is easy to take an image of urine test paper and is used to carry out the urine biochemical analysis conveniently. On the experiment  so its application prospect is extensive.  the color image of urine test paper is taken by popular color digital camera and saved in the computer which installs a simple color space conversion (RGB &rarr XYZ &rarr L*a*b*) and the calculation software. Test sample is graded according to intelligent detection of quantitative color. The images taken every time were saved in computer  and the whole illness process will be monitored. This method can also use in other medicine biochemical analyses that have relation with color. Experiment result shows that this test method is quick and accurate  
Wavelet neural networks for intelligent fault diagnosis 会议论文  OAI收割
International Symposium on Intelligence Computation and Applications, Wuhan, China, April 4-6, 2005
作者:  
Guo QJ(郭前进);  Yu HB(于海斌);  Xu AD(徐皑冬)
收藏  |  浏览/下载:70/0  |  提交时间:2012/06/06