CORC  > 重庆大学
Feature extraction and fault diagnosis of wind power generator vibration signals based on empirical wavelet transform
Chen, Xuejun[1]; Yang, Yongming[2]; Yang, Ning[2]
2017
卷号19页码:1745-1758
URL标识查看原文
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/3198217
专题重庆大学
推荐引用方式
GB/T 7714
Chen, Xuejun[1],Yang, Yongming[2],Yang, Ning[2]. Feature extraction and fault diagnosis of wind power generator vibration signals based on empirical wavelet transform[J],2017,19:1745-1758.
APA Chen, Xuejun[1],Yang, Yongming[2],&Yang, Ning[2].(2017).Feature extraction and fault diagnosis of wind power generator vibration signals based on empirical wavelet transform.,19,1745-1758.
MLA Chen, Xuejun[1],et al."Feature extraction and fault diagnosis of wind power generator vibration signals based on empirical wavelet transform".19(2017):1745-1758.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace