文献
J-GLOBAL ID:202202273774285187
整理番号:22A0736957
機械的故障診断のためのマルチ拡張速度とマルチアテンション機構に基づく新しいマルチスケール畳込みモデル【JST・京大機械翻訳】
A novel multi-scale convolution model based on multi-dilation rates and multi-attention mechanism for mechanical fault diagnosis
著者 (6件):
Chu Caiyuan
(School of College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China)
,
Ge Yongxin
(Key Laboratory of Dependable Service Computing in Cyber Physical Society, Ministry of Education, Chongqing University, Chongqing 400044, China)
,
Ge Yongxin
(School of Big Data & Software Engineering, Chongqing University, Chongqing 401331, China)
,
Qian Quan
(School of College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China)
,
Hua Boyu
(School of Big Data & Software Engineering, Chongqing University, Chongqing 401331, China)
,
Guo Jie
(School of Big Data & Software Engineering, Chongqing University, Chongqing 401331, China)
資料名:
Digital Signal Processing
(Digital Signal Processing)
巻:
122
ページ:
Null
発行年:
2022年
JST資料番号:
W1600A
ISSN:
1051-2004
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)