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Improving Wind Turbine Maintenance Activities by Learning from Various Information Flows Available Through the Wind Turbine Life Cycle

  • Elaheh Gholamzadeh Nabati
  • Klaus Dieter Thoben
Conference paper
Part of the Lecture Notes in Logistics book series (LNLO)

Abstract

Maintenance of the offshore wind turbines imposes high cost, effort, and risk on the wind farm owners. Therefore, it is highly demanded to make the wind turbine maintenance activities more reliable and cheaper. To achieve this goal, the focus of current research is to investigate how the available data through the life cycle of an offshore wind turbine can be utilized to improve the maintenance activities. In this work, it will be investigated, how to integrate information feedbacks from the operation phase of an offshore wind turbine to the maintenance stage. A comparison will be done afterwards between the proposed method and existing data-driven maintenance approaches in wind turbine and other industries such as aviation and shipping.

Keywords

Offshore wind turbine Product life cycle information management Maintenance Data mining and machine learning 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Elaheh Gholamzadeh Nabati
    • 1
  • Klaus Dieter Thoben
    • 2
  1. 1.International Graduate School of Dynamics in LogisticsUniversity of BremenBremenGermany
  2. 2.BIBA-Bremer Institute für Produktion und Logistik GmbHBremenGermany

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