Kiavash Fathi

Network

ORCID digital identifier

ORCID ID: 0000-0002-1844-8001

Projects

• Cybathlon 2024 / Team member / abgeschlossen

Publications

• Fathi, Kiavash; van de Venn, Hans Wernher; Honegger, Marcel,

  2021.

  Predictive maintenance : an autoencoder anomaly-based approach for a 3 DoF delta robot.

  Sensors.

  21(21), pp. 6979.

  Available from: https://doi.org/10.3390/s21216979

• Fathi, Kiavash; van de Venn, Hans Wernher,

  2024.

  Data, models, and performance : a comprehensive guide to predictive maintenance in industrial settings

  .

  In:

  Bányai, Tamás, ed.,

  Recent topics in maintenance management.

  London:

  IntechOpen.

  Available from: https://doi.org/10.5772/intechopen.1005511

• Tinnes, Christof; Ristin, Marko; Hohenstein, Uwe; Fathi, Kiavash; van de Venn, Hans Wernher,

  2024.

  From unstructured product descriptions to structured data for Industry 4.0 with ChatGPT [paper].

  In:

  2024 IEEE 7th International Conference on Industrial Cyber-Physical Systems (ICPS).

  7th International Conference on Industrial Cyber-Physical Systems (ICPS), St. Louis, USA, 12-15 May 2024.

  IEEE.

  Available from: https://doi.org/10.1109/icps59941.2024.10639992

• Fathi, Kiavash; Ristin, Marko; Sadurski, Marcin; Kleinert, Tobias; van de Venn, Hans Wernher,

  2024.

  Detection of novel asset failures in predictive maintenance using classifier certainty [paper].

  In:

  2024 32nd Mediterranean Conference on Control and Automation (MED).

  32nd Mediterranean Conference on Control and Automation (MED), Chania, Greece, 11-14 June 2024.

  IEEE.

  pp. 50-56.

  Available from: https://doi.org/10.1109/med61351.2024.10566204

• Fathi, Kiavash; Corradini, Fabio; Sadurski, Marcin; Silvestri, Marco; Ristin, Marko; Laghaei, Afrooz; Valtorta, Davide; Kleinert, Tobias; van de Venn, Hans Wernher,

  2024.

  Domain adaptation via simulation parameter and data perturbation for predictive maintenance [paper].

  In:

  Do, Phuc; Ezhilarasu, Cordelia, eds.,

  Proceedings of the PHM Society European Conference 2024.

  8th European Conference of the Prognostics and Health Management Society (PHME), Prague, Czech Republic, 3-5 July 2024.

  PHM Society.

  pp. 389-399.

  Available from: https://doi.org/10.36001/phme.2024.v8i1.3985

• Fathi, Kiavash; Kleinert, Tobias; van de Venn, Hans Wernher,

  2024.

  Trustworthy machine learning operations for predictive maintenance solutions [paper].

  In:

  Do, Phuc; Ezhilarasu, Cordelia, eds.,

  Proceedings of the European Conference of the PHM Society 2024.

  8th European Conference of the Prognostics and Health Management Society (PHME), Prague, Czech Republic, 3-5 July 2024.

  Prognostics and Health Management Society.

  pp. 4.

  Available from: https://doi.org/10.36001/phme.2024.v8i1.3966

• Fathi, Kiavash; Stramaglia, Maria; Ristin, Marko; Sadurski, Marcin; Kleinert, Tobias; Schönfelder, Robert; van de Venn, Hans Wernher,

  2024.

  Sustainability in semiconductor production via interpretable and reliable predictions [paper].

  In:

  12th IFAC Symposium on Advanced Control of Chemical Processes (ADCHEM), Toronto, Canada, 14-17 July 2024.

  Elsevier.

  pp. 174-179.

  Available from: https://doi.org/10.1016/j.ifacol.2024.07.213

• Fathi, Kiavash; Sadurski, Marcin; Kleinert, Tobias; van de Venn, Hans Wernher,

  2023.

  Source component shift detection & classification for improved remaining useful life estimation in alarm-based predictive maintenance [paper].

  In:

  2023 23rd International Conference on Control, Automation and Systems (ICCAS).

  23rd International Conference on Control, Automation and Systems (ICCAS), Yeosu, South Korea, 17-20 October 2023.

  IEEE.

  pp. 975-980.

  Available from: https://doi.org/10.23919/iccas59377.2023.10316874

• Fathi, Kiavash; Darvishy, Alireza; van de Venn, Hans Wernher,

  2022.

  Augmented reality for the visually impaired : navigation aid and scene semantics for indoor use cases [paper].

  In:

  2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin).

  12th IEEE International Conference on Consumer Technology (ICCE-Berlin), Berlin, Germany, 2-6 September 2022.

  IEEE.

  Available from: https://doi.org/10.1109/ICCE-Berlin56473.2022.9937109

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