文献
J-GLOBAL ID:202102250834080934
整理番号:21A2318529
スパースセンサネットワークを用いた損傷イメージングのための改善多重信号分類(Am-MUSIC)【JST・京大機械翻訳】
Ameliorated-multiple signal classification (Am-MUSIC) for damage imaging using a sparse sensor network
著者 (9件):
Yang Xiongbin
(Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, PR China)
,
Wang Kai
(Interdisciplinary Division of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, PR China)
,
Zhou Pengyu
(Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, PR China)
,
Xu Lei
(Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, PR China)
,
Liu Jinlong
(Aero Engine Academy of China, Beijing, PR China)
,
Sun Peipei
(Aero Engine Academy of China, Beijing, PR China)
,
Su Zhongqing
(Department of Mechanical Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong, PR China)
,
Su Zhongqing
(The Hong Kong Polytechnic University Shenzhen Research Institute, Shenzhen 518057, PR China)
,
Su Zhongqing
(School of Astronautics, Northwestern Polytechnical University, Xi’an 710072, PR China)
資料名:
Mechanical Systems and Signal Processing
(Mechanical Systems and Signal Processing)
巻:
163
ページ:
Null
発行年:
2022年
JST資料番号:
T0514A
ISSN:
0888-3270
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)