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 journalArticlepeer-review

    24 Citations (SciVal)
    Original languageEnglish
    Pages (from-to)87-97
    Number of pages11
    JournalJournal of Process Control
    Volume76
    DOIs
    Publication statusPublished (VoR) - Apr 2019

    Funding

    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 ).

    Keywords

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

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