CORC  > 山东大学
Dominant trend based logistic regression for fault diagnosis in nonstationary processes
Shang, Jun; Chen, Maoyin; Ji, Hongquan; Zhou, Donghua; Zhang, Haifeng; Li, Mingliang
刊名CONTROL ENGINEERING PRACTICE
2017
卷号66页码:156-168
关键词Fault diagnosis Fault isolation Nonstationary processes Dominant trend extraction Logistic regression
DOI10.1016/j.conengprac.2017.06.011
URL标识查看原文
公开日期[db:dc_date_available]
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/4592897
专题山东大学
作者单位1.Tsinghua Univ, Dept Automat, TNList, Beijing 100084, Peoples R China.
2.Shand
推荐引用方式
GB/T 7714
Shang, Jun,Chen, Maoyin,Ji, Hongquan,et al. Dominant trend based logistic regression for fault diagnosis in nonstationary processes[J]. CONTROL ENGINEERING PRACTICE,2017,66:156-168.
APA Shang, Jun,Chen, Maoyin,Ji, Hongquan,Zhou, Donghua,Zhang, Haifeng,&Li, Mingliang.(2017).Dominant trend based logistic regression for fault diagnosis in nonstationary processes.CONTROL ENGINEERING PRACTICE,66,156-168.
MLA Shang, Jun,et al."Dominant trend based logistic regression for fault diagnosis in nonstationary processes".CONTROL ENGINEERING PRACTICE 66(2017):156-168.
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