Combining Canonical Variate Analysis, Probability Approach and Support Vector Regression for Failure Time Prediction

Xiaochuan Li, Fang Duan, David Mba, Ian Bennett

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    6 Citations (Scopus)
    Original languageEnglish
    Title of host publicationProceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017
    EditorsWei Guo, Jose Valente de Oliveira, Chuan Li, Yun Bai, Ping Ding, Juanjuan Shi
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages746-752
    Number of pages7
    ISBN (Electronic)9781509040209
    DOIs
    Publication statusPublished (VoR) - 9 Dec 2017
    Event2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017 - Shanghai, China
    Duration: 16 Aug 201718 Aug 2017

    Publication series

    NameProceedings - 2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017
    Volume2017-December

    Conference

    Conference2017 International Conference on Sensing, Diagnostics, Prognostics, and Control, SDPC 2017
    Country/TerritoryChina
    CityShanghai
    Period16/08/1718/08/17

    Keywords

    • Canonical Variate Analysis
    • Condition Monitoring
    • Cox Proportional Hazard Model
    • Remaining Useful Life
    • Support Vector Regression

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