文献
J-GLOBAL ID:202202233713239698
整理番号:22A0620946
SSA-BLSTMモデルへのPCAと1ホットエンコーディングの適用によるドリル加工における工具摩耗タイプの正確な検出【JST・京大機械翻訳】
An accurate detection of tool wear type in drilling process by applying PCA and one-hot encoding to SSA-BLSTM model
著者 (5件):
Mahmood Jawad
(Key Laboratory of High-Performance Manufacturing for Aero Engine, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi’an, People’s Republic of China)
,
Mahmood Jawad
(School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, People’s Republic of China)
,
Luo Ming
(Key Laboratory of High-Performance Manufacturing for Aero Engine, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi’an, People’s Republic of China)
,
Luo Ming
(School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, People’s Republic of China)
,
Rehman Mudassar
(School of Mechanical Engineering, Northwestern Polytechnical University, Xi’an, People’s Republic of China)
資料名:
International Journal of Advanced Manufacturing Technology
(International Journal of Advanced Manufacturing Technology)
巻:
118
号:
11-12
ページ:
3897-3916
発行年:
2022年
JST資料番号:
T0397A
ISSN:
0268-3768
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)