Prof. (asst. TUD) Dr. Manuel Arias Chao

Projekte

• Hybrid Aircraft Maintenance Program / Projektleiter:in / laufend
• KI-basierte Prognosen für Batterie-Energiespeichersysteme mit Zustandsüberwachungsdaten / Stellv. Projektleiter:in / laufend
• ZHAW-PARC Hybrid Prognostics Research / Projektleiter:in / laufend
• Zustandsüberwachung von Generatoren / Stellv. Projektleiter:in / abgeschlossen
• An end-to-end fault prognostics solution for reliable power grids using acoustic sensors / Projektleiter:in / abgeschlossen
• Smart Maintenance Nuclear Power Plants / Projektleiter:in / abgeschlossen

Publikationen

• Navidi, Sina; Bajarunas, Kristupas; Arias Chao, Manuel; Hu, Chao,

  2025.

  Forecasting battery capacity for second-life applications using physics-informed recurrent neural networks.

  eTransportation.

  25(100432).

  Verfügbar unter: https://doi.org/10.1016/j.etran.2025.100432

• Pierre, Dersin; Goglio, Dario; Bajarunas, Kristupas; Arias Chao, Manuel,

  2025.

  Analytical health indices : towards reliability-informed deep learning for PHM.

  International Journal of Prognostics and Health Management.

  16(2).

  Verfügbar unter: https://doi.org/10.36001/ijphm.2025.v16i2.4262

• Basora, Luis; Viens, Arthur; Arias Chao, Manuel; Olive, Xavier,

  2025.

  A benchmark on uncertainty quantification for deep learning prognostics.

  Reliability Engineering & System Safety.

  253(110513).

  Verfügbar unter: https://doi.org/10.1016/j.ress.2024.110513

• Bajarunas, Kristupas; Baptista, Marcia L.; Goebel, Kai; Arias Chao, Manuel,

  2024.

  Health index estimation through integration of general knowledge with unsupervised learning.

  Reliability Engineering & System Safety.

  251(110352).

  Verfügbar unter: https://doi.org/10.1016/j.ress.2024.110352

• Goren Huber, Lilach; Palmé, Thomas; Arias Chao, Manuel,

  2023.

  Physics-informed machine learning for predictive maintenance : applied use-cases[Paper].

  In:

  2023 10th IEEE Swiss Conference on Data Science (SDS).

  10th IEEE Swiss Conference on Data Science (SDS), Zurich, Switzerland, 22-23 June 2023.

  IEEE.

  S. 66-72.

  Verfügbar unter: https://doi.org/10.1109/SDS57534.2023.00016

• Goren Huber, Lilach; Palmé, Jan Thomas; Arias Chao, Manuel,

  2023.

  Hybride Instandhaltung : wie fliesst das Fachwissen in die KI?.

  fmpro service.

  2023(6), S. 5-7.

  Verfügbar unter: https://doi.org/10.21256/zhaw-29515

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