沒有 育壅 的照片 李

查看斯高帕斯 (Scopus) 概要

李 育壅

Project Postdoctoral Fellow

  • 10 引文
  • 2 h-指數
20122017
如果您對這些純文本內容做了任何改變，很快就會看到。

指紋 查看啟用 Yu-Yong Li 的研究主題。這些主題標籤來自此人的作品。共同形成了獨特的指紋。

  • 14 類似的檔案
Multi-model Mathematics
Machine tools Engineering & Materials Science
Wear of materials Engineering & Materials Science
Machining Engineering & Materials Science
Metrology Mathematics
Industrial plants Engineering & Materials Science
Neural networks Engineering & Materials Science
Controllers Engineering & Materials Science

網絡 國家層面的近期外部合作。點選圓點深入探索詳細資料。

研究成果 2012 2017

  • 10 引文
  • 2 h-指數
  • 3 Conference contribution
  • 3 Article
2 引文 (Scopus)

A cyber-physical scheme for predicting tool wear based on a hybrid dynamic neural network

Yang, H. C., Li, Y. Y., Hung, M. H. & Cheng, F. T., 2017 十月 3, 於 : Journal of the Chinese Institute of Engineers, Transactions of the Chinese Institute of Engineers,Series A/Chung-kuo Kung Ch'eng Hsuch K'an. 40, 7, p. 614-625 12 p.

研究成果: Article

Wear of materials
Neural networks
Industrial plants
Logistics
Machining
5 引文 (Scopus)

Development of a novel cloud-based multi-tenant model creation service for automatic virtual metrology

Hung, M. H., Li, Y. Y., Lin, Y. C., Wei, C. F., Yang, H. C. & Cheng, F. T., 2017 四月 1, 於 : Robotics and Computer-Integrated Manufacturing. 44, p. 174-189 16 p.

研究成果: Article

Multi-model
Metrology
Industrial plants
Model
Cloud computing
3 引文 (Scopus)

A hybrid tool life prediction scheme in cloud architecture

Yang, H. C., Li, Y. Y., Wu, M. N. & Cheng, F. T., 2016 十一月 14, 2016 IEEE International Conference on Automation Science and Engineering, CASE 2016. IEEE Computer Society, p. 1160-1165 6 p. 7743536. (IEEE International Conference on Automation Science and Engineering; 卷 2016-November).

研究成果: Conference contribution

Wear of materials
Industrial plants
Neural networks

Extracting relevant features for diagnosing machine tool faults in cloud architecture

Li, Y. Y., Yang, H. C., Tieng, H. & Cheng, F. T., 2015 十月 7, 2015 IEEE Conference on Automation Science and Engineering: Automation for a Sustainable Future, CASE 2015. IEEE Computer Society, p. 1434-1439 6 p. 7294299. (IEEE International Conference on Automation Science and Engineering; 卷 2015-October).

研究成果: Conference contribution

Machine tools
Process monitoring
Sorting
Genetic algorithms

Mobile monitoring and control framework with active-push and plug-and-play capabilities

Chang, A. Y., Li, Y-Y., Hung, M. H. & Yen, T. F., 2013 九月 26, 於 : Assembly Automation. 33, 4, p. 317-333 17 p., 17096521.

研究成果: Article

Monitoring
Industrial plants
Control systems
Automation
Mobile devices