Markus Ulmer

• Convolutional Neural Network Algorithms for Wind Turbine Fault Detection / Team member / Project ongoing
• Machine Learning Based Fault Detection for Wind Turbines / Team member / Project completed

• Zgraggen, Jannik; Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach,

  2021.

  Transfer learning approaches for wind turbine fault detection using deep learning [paper].

  In:

  Proceedings of the European Conference of the PHM Society 2021.

  6th European Conference of the Prognostics and Health Management Society, Online, 28 June - 2 July 2021.

  PHM Society.

  pp. 12.

  Available from: https://doi.org/10.36001/phme.2021.v6i1.2835

• Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach,

  2021.

  Deep learning for fault detection : the path to predictive maintenance of wind turbines [paper].

  In:

  Sammelband zu den 6. Energieforschungsgesprächen Disentis.

  Energieforschungsgespräche Disentis 2021, Online, 20.-22. Januar 2021.

  Disentis:

  Stiftung Alpines Energieforschungscenter AlpEnForCe.

  pp. 24-26.

• Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Goren Huber, Lilach,

  2020.

  Cross-turbine training of convolutional neural networks for SCADA-based fault detection in wind turbines [paper].

  In:

  Proceedings of the Annual Conference of the PHM Society 2020.

  12th Annual Conference of the PHM Society, virtual, 9-13 November 2020.

  PHM Society.

  Available from: https://doi.org/10.36001/phmconf.2020.v12i1.1205

• Ulmer, Markus; Jarlskog, Eskil; Pizza, Gianmarco; Manninen, Jaakko; Goren Huber, Lilach,

  2020.

  Early fault detection based on wind turbine SCADA data using convolutional neural networks [paper].

  In:

  PHME 2020 : Proceedings of the 5th European Conference of the PHM Society.

  5th European Conference of the Prognostics and Health Management Society, Virtual Conference, 27-31 July 2020.

  PHM Society.

  Available from: https://doi.org/10.21256/zhaw-20433

go back