文献
J-GLOBAL ID:201802286964212523
整理番号:18A0258233
ベアリング故障検出のための核ノルム最小化を介した重み付き低ランクスパースモデル【Powered by NICT】
Weighted low-rank sparse model via nuclear norm minimization for bearing fault detection
著者 (9件):
Du Zhaohui
(State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China)
,
Du Zhaohui
(Collaborative Innovation Center of High-End Manufacturing Equipment, Xi’an Jiaotong University, Xi’an 710054, China)
,
Chen Xuefeng
(State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China)
,
Chen Xuefeng
(Collaborative Innovation Center of High-End Manufacturing Equipment, Xi’an Jiaotong University, Xi’an 710054, China)
,
Zhang Han
(State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China)
,
Yang Boyuan
(State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China)
,
Zhai Zhi
(State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China)
,
Yan Ruqiang
(State Key Laboratory for Manufacturing Systems Engineering, Xi’an Jiaotong University, Xi’an 710049, China)
,
Yan Ruqiang
(School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China)
資料名:
Journal of Sound and Vibration
(Journal of Sound and Vibration)
巻:
400
ページ:
270-287
発行年:
2017年
JST資料番号:
H0503A
ISSN:
0022-460X
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)