文献
J-GLOBAL ID:201702247240605763
整理番号:17A1555544
タービン油の多重パラメータ関節モニタリングに基づくタービン機の摩耗条件傾向予測【Powered by NICT】
Wearing condition trend prediction of turbine machine based on multi-parameter joint monitoring of turbine oil
著者 (4件):
Yang Kun
(Reliability Engineering Institute, School of Energy and Power Engineering, Wuhan University of Technology)
,
Gao Yong
(Reliability Engineering Institute, School of Energy and Power Engineering, Wuhan University of Technology)
,
Song Ping
(Reliability Engineering Institute, School of Energy and Power Engineering, Wuhan University of Technology)
,
Xin Zhang
(Luoyang Large Industrial Detection Technology Co., Ltd., Luoyang 471000, China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
ICTIS
ページ:
711-715
発行年:
2017年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)