The combined effect of Scale and Non-stationary Conditions on Predictive Health Monitoring Procedures: A Case of Wind Turbine

Idriss El-Thalji, Erkki Jantunen

    Research output: Contribution to conferenceConference articleScientific

    Abstract

    The condition monitoring and predictive health practices have become significantly important part of offshore wind farms in order to cut down operation and maintenance costs. Machine dynamics, machine rotational speed and sampling procedures are three significant features with the stochastic nature and together increase the complexity of predictive health monitoring (PHM) procedures. The purpose of the paper is to demonstrate; first, the influence of scale and environmental loading conditions on the reliability of the rotating components of wind energy system; second, their influences on PHM procedures. The case study method has been utilized; the target of analysis is the wind turbine gearbox (WTG) as a component that is facing operational challenges due to its scale and environmental disturbances. This paper result in first explores scaled-up design features and their associated failure modes. Second, it shows the effects of these features as interference, defect noises and others issues on whole monitoring procedures. Wind turbine as a scaled-up system has critical points where it's technical specifications, components, interfaces, functions could require careful modifications. The effectiveness of PHM system is significantly affected by those critical points.
    Original languageEnglish
    Publication statusPublished - 2012
    MoE publication typeNot Eligible
    EventESReDA Conference 2012, 42nd ESReDA Seminar on Risk and Reliability for Wind Energy and other Renewable Sources - Glasgow, United Kingdom
    Duration: 15 May 201216 May 2012

    Conference

    ConferenceESReDA Conference 2012, 42nd ESReDA Seminar on Risk and Reliability for Wind Energy and other Renewable Sources
    CountryUnited Kingdom
    CityGlasgow
    Period15/05/1216/05/12

    Fingerprint

    Wind turbines
    Health
    Monitoring
    Offshore wind farms
    Condition monitoring
    Wind power
    Failure modes
    Sampling
    Specifications
    Defects
    Costs

    Keywords

    • wind farm
    • predictive health monitoring
    • scaled-up design
    • non-stationary loading
    • wear

    Cite this

    El-Thalji, I., & Jantunen, E. (2012). The combined effect of Scale and Non-stationary Conditions on Predictive Health Monitoring Procedures: A Case of Wind Turbine. Paper presented at ESReDA Conference 2012, 42nd ESReDA Seminar on Risk and Reliability for Wind Energy and other Renewable Sources, Glasgow, United Kingdom.
    El-Thalji, Idriss ; Jantunen, Erkki. / The combined effect of Scale and Non-stationary Conditions on Predictive Health Monitoring Procedures : A Case of Wind Turbine. Paper presented at ESReDA Conference 2012, 42nd ESReDA Seminar on Risk and Reliability for Wind Energy and other Renewable Sources, Glasgow, United Kingdom.
    @conference{7be9053552454e80a7e9a34f90e3d433,
    title = "The combined effect of Scale and Non-stationary Conditions on Predictive Health Monitoring Procedures: A Case of Wind Turbine",
    abstract = "The condition monitoring and predictive health practices have become significantly important part of offshore wind farms in order to cut down operation and maintenance costs. Machine dynamics, machine rotational speed and sampling procedures are three significant features with the stochastic nature and together increase the complexity of predictive health monitoring (PHM) procedures. The purpose of the paper is to demonstrate; first, the influence of scale and environmental loading conditions on the reliability of the rotating components of wind energy system; second, their influences on PHM procedures. The case study method has been utilized; the target of analysis is the wind turbine gearbox (WTG) as a component that is facing operational challenges due to its scale and environmental disturbances. This paper result in first explores scaled-up design features and their associated failure modes. Second, it shows the effects of these features as interference, defect noises and others issues on whole monitoring procedures. Wind turbine as a scaled-up system has critical points where it's technical specifications, components, interfaces, functions could require careful modifications. The effectiveness of PHM system is significantly affected by those critical points.",
    keywords = "wind farm, predictive health monitoring, scaled-up design, non-stationary loading, wear",
    author = "Idriss El-Thalji and Erkki Jantunen",
    note = "Project code: 76753; ESReDA Conference 2012, 42nd ESReDA Seminar on Risk and Reliability for Wind Energy and other Renewable Sources ; Conference date: 15-05-2012 Through 16-05-2012",
    year = "2012",
    language = "English",

    }

    El-Thalji, I & Jantunen, E 2012, 'The combined effect of Scale and Non-stationary Conditions on Predictive Health Monitoring Procedures: A Case of Wind Turbine', Paper presented at ESReDA Conference 2012, 42nd ESReDA Seminar on Risk and Reliability for Wind Energy and other Renewable Sources, Glasgow, United Kingdom, 15/05/12 - 16/05/12.

    The combined effect of Scale and Non-stationary Conditions on Predictive Health Monitoring Procedures : A Case of Wind Turbine. / El-Thalji, Idriss; Jantunen, Erkki.

    2012. Paper presented at ESReDA Conference 2012, 42nd ESReDA Seminar on Risk and Reliability for Wind Energy and other Renewable Sources, Glasgow, United Kingdom.

    Research output: Contribution to conferenceConference articleScientific

    TY - CONF

    T1 - The combined effect of Scale and Non-stationary Conditions on Predictive Health Monitoring Procedures

    T2 - A Case of Wind Turbine

    AU - El-Thalji, Idriss

    AU - Jantunen, Erkki

    N1 - Project code: 76753

    PY - 2012

    Y1 - 2012

    N2 - The condition monitoring and predictive health practices have become significantly important part of offshore wind farms in order to cut down operation and maintenance costs. Machine dynamics, machine rotational speed and sampling procedures are three significant features with the stochastic nature and together increase the complexity of predictive health monitoring (PHM) procedures. The purpose of the paper is to demonstrate; first, the influence of scale and environmental loading conditions on the reliability of the rotating components of wind energy system; second, their influences on PHM procedures. The case study method has been utilized; the target of analysis is the wind turbine gearbox (WTG) as a component that is facing operational challenges due to its scale and environmental disturbances. This paper result in first explores scaled-up design features and their associated failure modes. Second, it shows the effects of these features as interference, defect noises and others issues on whole monitoring procedures. Wind turbine as a scaled-up system has critical points where it's technical specifications, components, interfaces, functions could require careful modifications. The effectiveness of PHM system is significantly affected by those critical points.

    AB - The condition monitoring and predictive health practices have become significantly important part of offshore wind farms in order to cut down operation and maintenance costs. Machine dynamics, machine rotational speed and sampling procedures are three significant features with the stochastic nature and together increase the complexity of predictive health monitoring (PHM) procedures. The purpose of the paper is to demonstrate; first, the influence of scale and environmental loading conditions on the reliability of the rotating components of wind energy system; second, their influences on PHM procedures. The case study method has been utilized; the target of analysis is the wind turbine gearbox (WTG) as a component that is facing operational challenges due to its scale and environmental disturbances. This paper result in first explores scaled-up design features and their associated failure modes. Second, it shows the effects of these features as interference, defect noises and others issues on whole monitoring procedures. Wind turbine as a scaled-up system has critical points where it's technical specifications, components, interfaces, functions could require careful modifications. The effectiveness of PHM system is significantly affected by those critical points.

    KW - wind farm

    KW - predictive health monitoring

    KW - scaled-up design

    KW - non-stationary loading

    KW - wear

    M3 - Conference article

    ER -

    El-Thalji I, Jantunen E. The combined effect of Scale and Non-stationary Conditions on Predictive Health Monitoring Procedures: A Case of Wind Turbine. 2012. Paper presented at ESReDA Conference 2012, 42nd ESReDA Seminar on Risk and Reliability for Wind Energy and other Renewable Sources, Glasgow, United Kingdom.