Prognosis of rolling bearing failure based on regression analysis and fuzzy logic

Erkki Jantunen

    Research output: Contribution to journalArticleScientific

    Original languageEnglish
    Pages (from-to)97-108
    Number of pages12
    JournalAdvances in Vibration Engineering
    Volume5
    Issue number2
    Publication statusPublished - 2006
    MoE publication typeB1 Article in a scientific magazine

    Keywords

    • bearing wear
    • condition monitoring
    • signal analysis
    • regression model
    • automatic diagnosis
    • prognosis
    • fuzzy logic

    Cite this

    @article{cd79bbe9eaab4cd69b485ba8e19f3572,
    title = "Prognosis of rolling bearing failure based on regression analysis and fuzzy logic",
    keywords = "bearing wear, condition monitoring, signal analysis, regression model, automatic diagnosis, prognosis, fuzzy logic",
    author = "Erkki Jantunen",
    note = "Project code: H2SU00063",
    year = "2006",
    language = "English",
    volume = "5",
    pages = "97--108",
    journal = "Journal of Vibration Engineering & Technologies",
    issn = "2523-3920",
    publisher = "Springer",
    number = "2",

    }

    Prognosis of rolling bearing failure based on regression analysis and fuzzy logic. / Jantunen, Erkki.

    In: Advances in Vibration Engineering, Vol. 5, No. 2, 2006, p. 97-108.

    Research output: Contribution to journalArticleScientific

    TY - JOUR

    T1 - Prognosis of rolling bearing failure based on regression analysis and fuzzy logic

    AU - Jantunen, Erkki

    N1 - Project code: H2SU00063

    PY - 2006

    Y1 - 2006

    KW - bearing wear

    KW - condition monitoring

    KW - signal analysis

    KW - regression model

    KW - automatic diagnosis

    KW - prognosis

    KW - fuzzy logic

    M3 - Article

    VL - 5

    SP - 97

    EP - 108

    JO - Journal of Vibration Engineering & Technologies

    JF - Journal of Vibration Engineering & Technologies

    SN - 2523-3920

    IS - 2

    ER -