文献
J-GLOBAL ID:201702268307352833
整理番号:17A0406486
刺激応答と多様体学習の高感度混合領域特徴に基づくファン基礎のボルトを接続するためのゆるみ診断法【Powered by NICT】
Looseness diagnosis method for connecting bolt of fan foundation based on sensitive mixed-domain features of excitation-response and manifold learning
著者 (8件):
Chen Renxiang
(School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, PR China)
,
Chen Renxiang
(School of Aeronautics & Astronautics, Sichuan University, Chengdu 610065, PR China)
,
Chen Siyang
(School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, PR China)
,
Yang Lixia
(School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, PR China)
,
Yang Lixia
(Chongqing Radio & TV University, Chongqing 400052, PR China)
,
Wang Jiaxu
(School of Aeronautics & Astronautics, Sichuan University, Chengdu 610065, PR China)
,
Xu Xiangyang
(School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, PR China)
,
Luo Tianhong
(School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, PR China)
資料名:
Neurocomputing
(Neurocomputing)
巻:
219
ページ:
376-388
発行年:
2017年
JST資料番号:
W0360A
ISSN:
0925-2312
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)