Maintenance management in wind turbines by monitoring the bearing temperature

Ana María Peco Chacón, Long Zhang, Fausto Pedro García Márquez

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

    Abstract

    Wind turbines are increasing in number, size and market share. It is determined whether they are efficient through operating and maintenance costs. Therefore, one of the main objectives of the wind turbines is to increase the service life of the components by applying different methodologies for fault detection. The gearbox is a critical component since it causes the most downtime and failure rate of the wind turbines. The Supervisory Control and Data Acquisition system offers the measurement of several variables, and by a correct analysis it is possible to detect the faults before they occur. This paper analyses the temperature curve of bearing versus wind speed as significant variables of a gearbox failure for fault detection.

    Original languageEnglish
    Title of host publicationProceedings of the 13th International Conference on Management Science and Engineering Management, 2019 - Volume 1
    EditorsJiuping Xu, Gheorghe Duca, Fang Lee Cooke, Syed Ejaz Ahmed
    PublisherSpringer Nature
    Pages678-687
    Number of pages10
    ISBN (Print)9783030212476
    DOIs
    Publication statusPublished - 2019
    Event13th International Conference on Management Science and Engineering Management, ICMSEM 2019 - St. Catharines, Canada
    Duration: 5 Aug 20198 Aug 2019

    Publication series

    NameAdvances in Intelligent Systems and Computing
    Volume1001
    ISSN (Print)2194-5357

    Conference

    Conference13th International Conference on Management Science and Engineering Management, ICMSEM 2019
    Country/TerritoryCanada
    CitySt. Catharines
    Period5/08/198/08/19

    Keywords

    • Curve power
    • Fault detection
    • Renewable energy
    • SCADA
    • Wind turbine

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