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科研机构
兰州理工大学 [4]
内容类型
期刊论文 [4]
发表日期
2020 [4]
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发表日期:2020
专题:兰州理工大学
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Ultrasonic Array Detection Method on Cylindrical Surface Diffusion Weld of Complex Structural Parts
期刊论文
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering, 2020, 卷号: 56, 期号: 22, 页码: 1-7
作者:
Li, Wentao
;
Zhou, Zhenggan
收藏
  |  
浏览/下载:15/0
  |  
提交时间:2022/02/17
Acoustic waves
Acoustics
Finite difference time domain method
Signal to noise ratio
Testing
Transducers
Ultrasonic testing
Welds
Complex structural parts
Component structure
Detection efficiency
Detection experiments
Low signal-to-noise ratio
Prefabricated defects
Structural characteristics
Ultrasonic testing method
Study on monitoring method of wind power blades erosion severity under wind-sand storm based on machine vision technology
期刊论文
Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2020, 卷号: 41, 期号: 5, 页码: 166-173
作者:
Wang, Xueping
;
Zhang, Jianfei
;
Li, Wanrun
;
Du, Yongfeng
;
Li, Hui
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2022/02/17
Computer vision
Image segmentation
Wind power
Extraction of characteristics
Generating efficiencies
Image intensification
Image processing technique
Monitoring methods
Nondestructive detecting method
Nondestructive detection
Spatial filterings
Study on monitoring method of wind power blades erosion severity under wind-sand storm based on machine vision technology
期刊论文
Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 2020, 卷号: 41, 期号: 5, 页码: 166-173
作者:
Wang, Xueping
;
Zhang, Jianfei
;
Li, Wanrun
;
Du, Yongfeng
;
Li, Hui
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2020/11/14
Computer vision
Image segmentation
Wind power
Extraction of characteristics
Generating efficiencies
Image intensification
Image processing technique
Monitoring methods
Nondestructive detecting method
Nondestructive detection
Spatial filterings
X-ray image defect recognition method for pipe weld based on improved convolutional neural network
期刊论文
Hanjie Xuebao/Transactions of the China Welding Institution, 2020, 卷号: 41, 期号: 1, 页码: 7-11
作者:
Fan, Ding
;
Hu, Ande
;
Huang, Jiankang
;
Xu, Zhenya
;
Xu, Xu
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2020/11/14
Chemical activation
Convolution
Convolutional neural networks
Defects
Extraction
Feature extraction
Image enhancement
Image recognition
Pixels
Welds
Activation functions
Convolution neural network
Local information
Network parameters
Recognition accuracy
Region of interest
Saturation region
Segmentation algorithms
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