MS-DenseNet-GRU tool wear prediction method based on attention mechanism
Author(s): |
Yaonan Cheng
(Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China)
Jing Xue (Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China) Mengda Lu (Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China) Shilong Zhou (Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China) Xiaoyu Gai (Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China) Rui Guan (Key Laboratory of Advanced Manufacturing and Intelligent Technology, Ministry of Education, Harbin University of Science and Technology, Harbin, China) |
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Medium: | journal article |
Language(s): | English |
Published in: | Structural Health Monitoring |
DOI: | 10.1177/14759217241240663 |
- About this
data sheet - Reference-ID
10775605 - Published on:
29/04/2024 - Last updated on:
29/04/2024