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	Incipient sensor fault diagnosis in multimode processes using conditionally independent Bayesian learning based recursive transformed component statistical analysis
	Shang, Jun; Zhou, Donghua; Chen, Maoyin; Ji, Hongquan; Zhang, Hanwen
刊名	JOURNAL OF PROCESS CONTROL
	2019
卷号	77页码:7-19
关键词	Fault detection Fault isolation Incipient sensor fault Conditionally independent Bayesian learning Recursive transformed component statistical analysis
DOI	10.1016/j.jprocont.2019.03.010
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/4533438
专题	山东大学
作者单位	1.Univ Alberta, Dept Elect & Comp Engn, Edmonton, AB T6G 1H9, Canada. 2.Tsinghua Univ, Dept Auto
推荐引用方式 GB/T 7714	Shang, Jun,Zhou, Donghua,Chen, Maoyin,et al. Incipient sensor fault diagnosis in multimode processes using conditionally independent Bayesian learning based recursive transformed component statistical analysis[J]. JOURNAL OF PROCESS CONTROL,2019,77:7-19.
APA	Shang, Jun,Zhou, Donghua,Chen, Maoyin,Ji, Hongquan,&Zhang, Hanwen.(2019).Incipient sensor fault diagnosis in multimode processes using conditionally independent Bayesian learning based recursive transformed component statistical analysis.JOURNAL OF PROCESS CONTROL,77,7-19.
MLA	Shang, Jun,et al."Incipient sensor fault diagnosis in multimode processes using conditionally independent Bayesian learning based recursive transformed component statistical analysis".JOURNAL OF PROCESS CONTROL 77(2019):7-19.

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