文献
J-GLOBAL ID:202002253125368019
整理番号:20A0014882
最適化マルチカーネル関連ベクトル機械とファジィ情報造粒に基づく機械装置の性能劣化予測【JST・京大機械翻訳】
Performance degradation prediction of mechanical equipment based on optimized multi-kernel relevant vector machine and fuzzy information granulation
著者 (8件):
Chen Fafa
(Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance, China Three Gorges University, Yichang 443002, China)
,
Chen Fafa
(School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798, Singapore)
,
Yang Yunpeng
(Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance, China Three Gorges University, Yichang 443002, China)
,
Yang Yunpeng
(School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798, Singapore)
,
Tang Baoping
(The State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing 400030, China)
,
Chen Baojia
(Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance, China Three Gorges University, Yichang 443002, China)
,
Xiao Wenrong
(Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance, China Three Gorges University, Yichang 443002, China)
,
Zhong Xianyou
(Hubei Key Laboratory of Hydroelectric Machinery Design & Maintenance, China Three Gorges University, Yichang 443002, China)
資料名:
Measurement
(Measurement)
巻:
151
ページ:
Null
発行年:
2020年
JST資料番号:
W0315B
ISSN:
0263-2241
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)