Development of Lightweight RBF-DRNN and Automated Framework for CNC Tool-Wear Prediction-Reference-Cited by-同舟云学术

Development of Lightweight RBF-DRNN and Automated Framework for CNC Tool-Wear Prediction

Author:

Chiu Sheng-Min¹^ORCID,Chen Yi-Chung²^ORCID,Kuo Cheng-Ju³^ORCID,Hung Li-Chun⁴^ORCID,Hung Min-Hsiung⁵^ORCID,Chen Chao-Chun⁶^ORCID,Lee Chiang¹^ORCID

Affiliation:

1. Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan

2. Department of Industrial Engineering and Management, National Yunlin University of Science and Technology, Yunlin, Taiwan

3. Shanghai Woodman-AI Company, Shanghai, China

4. Precision Machinery Research and Development Center, Taichung, Taiwan

5. Department of Computer Science and Information Engineering, Chinese Culture University, Taipei, Taiwan

6. Institute of Manufacturing Information and Systems, National Cheng Kung University, Tainan, Taiwan

Funder

Precision Machinery Research and Development Center Taiwan, R.O.C.

Ministry of Science and Technology of Taiwan, R.O.C.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

Reference40 articles.

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