文献
J-GLOBAL ID:202202213127669613
整理番号:22A0680226
重み付き補正信号対雑音比に基づく適応分数確率共鳴法と風力タービンの故障特性強化におけるその応用【JST・京大機械翻訳】
An adaptive fractional stochastic resonance method based on weighted correctional signal-to-noise ratio and its application in fault feature enhancement of wind turbine
著者 (4件):
Zeng Xiaolong
(School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China)
,
Lu Xin
(School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China)
,
Liu Zhiwen
(School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China)
,
Jin Yulin
(School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, PR China)
資料名:
ISA Transactions
(ISA Transactions)
巻:
120
ページ:
18-32
発行年:
2022年
JST資料番号:
B0580A
ISSN:
0019-0578
CODEN:
ISATAZ
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)