Meik Schlechtingen

  1. 2013
  2. Published

    A global condition monitoring system for wind turbines. / Schlechtingen, Meik; Santos, Ilmar (Main supervisor).

    DTU Mechanical Engineering, 2013. 163 p. (DCAMM Special Report; No. S150).

    Publication: ResearchPh.D. thesis – Annual report year: 2013

  3. Published

    Using Data-Mining Approaches for Wind Turbine Power Curve Monitoring: A Comparative Study. / Schlechtingen, Meik; Santos, Ilmar; Achiche, Sofiane .

    In: I E E E Transactions on Sustainable Energy, Vol. 4, No. 3, 2013, p. 671-679.

    Publication: Research - peer-reviewJournal article – Annual report year: 2014

  4. Published

    Wind turbine condition monitoring based on SCADA data using normal behavior models : Part 1: System description. / Schlechtingen, Meik; Santos, Ilmar; Achiche, Sofiane.

    In: Applied Soft Computing, Vol. 13, 2013, p. 259-270.

    Publication: Research - peer-reviewJournal article – Annual report year: 2013

  5. 2012
  6. Published

    Condition monitoring with ordinary wind turbine SCADA data – A neuro-fuzzy approach. / Schlechtingen, Meik; Santos, Ilmar.

    2012. Paper presented at Offshore 2011, Amsterdam, Netherlands.

    Publication: ResearchPaper – Annual report year: 2012

  7. Published

    Condition monitoring with wind turbine SCADA data using Neuro-Fuzzy normal behavior models. / Schlechtingen, Meik; Santos, Ilmar.

    Proceedings of ASME Turbo Expo 2012. Vol. 6 American Society of Mechanical Engineers, 2012. p. 717-726.

    Publication: Research - peer-reviewArticle in proceedings – Annual report year: 2012

  8. 2011
  9. Published
Download list:
Download as PDF
Select render style:
Download as HTML
Select render style:
Download as Word
Select render style: