Canonical variate residuals-based contribution map for slowly evolving faults

Xiaochuan Li; Xiaoyu Yang; Yingjie Yang; Ian Bennett; Andy Collop; David Mba

doi:10.1016/j.jprocont.2019.02.006

Canonical variate residuals-based contribution map for slowly evolving faults

Xiaochuan Li^*, Xiaoyu Yang, Yingjie Yang, Ian Bennett, Andy Collop, David Mba

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

23 Citations (SciVal)

Original language	English
Pages (from-to)	87-97
Number of pages	11
Journal	Journal of Process Control
Volume	76
DOIs	https://doi.org/10.1016/j.jprocont.2019.02.006
Publication status	Published (VoR) - Apr 2019

Keywords

Canonical variable analysis
Condition monitoring
Contribution map
Fault identification
Slowly evolving faults

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10.1016/j.jprocont.2019.02.006

Cite this

@article{67fedd2764a44cc3b36dc655071b99ce,

title = "Canonical variate residuals-based contribution map for slowly evolving faults",

keywords = "Canonical variable analysis, Condition monitoring, Contribution map, Fault identification, Slowly evolving faults",

author = "Xiaochuan Li and Xiaoyu Yang and Yingjie Yang and Ian Bennett and Andy Collop and David Mba",

note = "Funding Information: This work was supported by the National Natural Science Foundation of China (No. 71671091 , 71701098 ), the China Scholarship fund, Postgraduate Research & Practice Innovation Program of Jiangsu Province ( KYCX18_0233 ), and the Leverhulme Trust International Research Network project ( IN-2014-020 ). Publisher Copyright: {\textcopyright} 2019 Elsevier Ltd",

year = "2019",

month = apr,

doi = "10.1016/j.jprocont.2019.02.006",

language = "English",

volume = "76",

pages = "87--97",

journal = "Journal of Process Control",

issn = "0959-1524",

publisher = "Elsevier",

}

TY - JOUR

T1 - Canonical variate residuals-based contribution map for slowly evolving faults

AU - Li, Xiaochuan

AU - Yang, Xiaoyu

AU - Yang, Yingjie

AU - Bennett, Ian

AU - Collop, Andy

AU - Mba, David

N1 - Funding Information: This work was supported by the National Natural Science Foundation of China (No. 71671091 , 71701098 ), the China Scholarship fund, Postgraduate Research & Practice Innovation Program of Jiangsu Province ( KYCX18_0233 ), and the Leverhulme Trust International Research Network project ( IN-2014-020 ). Publisher Copyright: © 2019 Elsevier Ltd

PY - 2019/4

Y1 - 2019/4

KW - Canonical variable analysis

KW - Condition monitoring

KW - Contribution map

KW - Fault identification

KW - Slowly evolving faults

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UR - http://www.scopus.com/inward/citedby.url?scp=85061933240&partnerID=8YFLogxK

U2 - 10.1016/j.jprocont.2019.02.006

DO - 10.1016/j.jprocont.2019.02.006

M3 - Article

AN - SCOPUS:85061933240

SN - 0959-1524

VL - 76

SP - 87

EP - 97

JO - Journal of Process Control

JF - Journal of Process Control

ER -

Canonical variate residuals-based contribution map for slowly evolving faults

Keywords

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