Jannik Zgraggen

Personal profile

Projects

• Intelligent Diagnostics of Performance Degradation in Solar Power Plants / Team member / Project ongoing
• Automatic Data Selection for Machine Learning based Anomaly Detection / Team member / Project completed
• Convolutional Neural Network Algorithms for Wind Turbine Fault Detection / Team member / Project completed
• Machine Learning Based Fault Detection for Wind Turbines / Team member / Project completed

Publications

• Zgraggen, Jannik; Guo, Yuyan; Notaristefano, Antonio; Goren Huber, Lilach,

  2022.

  Physics informed deep learning for tracker fault detection in photovoltaic power plants [paper].

  In:

  Kulkarni, Chetan; Saxena, Abhinav, eds.,

  Proceedings of the Annual Conference of the PHM Society 2022.

  14th Annual Conference of the Prognostics and Health Management Society, Nashville, USA, 1-4 November 2022.

  PHM Society.

  Available from: https://doi.org/10.36001/phmconf.2022.v14i1.3235

• Zgraggen, Jannik; Pizza, Gianmarco; Goren Huber, Lilach,

  2022.

  Uncertainty informed anomaly scores with deep learning : robust fault detection with limited data [paper].

  In:

  Do, Phuc; Michau, Gabriel; Ezhilarasu, Cordelia, eds.,

  Proceedings of the 7th European Conference of the Prognostics and Health Management Society 2022.

  7th European PHM, Turin, Italy, 6-8 July 2022.

  State College:

  PHM Society.

  pp. 530-540.

  PHM Society European Conference ; 7.

  Available from: https://doi.org/10.36001/phme.2022.v7i1.3342

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

  2022.

  Scaling-up deep learning based predictive maintenance for commercial machine fleets : a case study [paper].

  In:

  2022 9th Swiss Conference on Data Science (SDS).

  9th Swiss Conference on Data Science (SDS), Lucerne, Switzerland, 22-23 June 2022.

  IEEE.

  pp. 40-46.

  Available from: https://doi.org/10.1109/SDS54800.2022.00014

• 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/10.21256/zhaw-22774

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