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  • Internationale Datenbank und Galerie für Ingenieurbauwerke

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Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Crowe, Eliot / Chen, Yimin / Reeve, Hayden / Yuill, David / Ebrahimifakhar, Amir / Chen, Yuxuan / Troup, Lucas / Smith, Amanda / Granderson, Jessica (2023): Empirical analysis of the prevalence of HVAC faults in commercial buildings. In: Science and Technology for the Built Environment, v. 29, n. 10 (Oktober 2023).

    https://doi.org/10.1080/23744731.2023.2263324

  2. Mehrabi, Mehdi / Yuill, David (2019): Fouling and Its Effects on Air-cooled Condensers in Split System Air Conditioners (RP-1705). In: Science and Technology for the Built Environment, v. 25, n. 6 (3 Juli 2019).

    https://doi.org/10.1080/23744731.2019.1605197

  3. Behfar, Alireza / Yuill, David / Yu, Yuebin (2018): Supermarket system characteristics and operating faults (RP-1615). In: Science and Technology for the Built Environment, v. 24, n. 10 (November 2018).

    https://doi.org/10.1080/23744731.2018.1479614

  4. Behfar, Alireza / Yuill, David / Yu, Yuebin (2017): Automated fault detection and diagnosis methods for supermarket equipment (RP-1615). In: Science and Technology for the Built Environment, v. 23, n. 8 (Oktober 2017).

    https://doi.org/10.1080/23744731.2017.1333352

  5. Mehrabi, Mehdi / Yuill, David (2020): A laboratory test method to realistically simulate air side fouling of condensers (RP-1705). In: Science and Technology for the Built Environment, v. 26, n. 6 (Mai 2020).

    https://doi.org/10.1080/23744731.2020.1737489

  6. Ebrahimifakhar, Amir / Kabirikopaei, Adel / Yuill, David (2020): Data-driven fault detection and diagnosis for packaged rooftop units using statistical machine learning classification methods. In: Energy and Buildings, v. 225 (Oktober 2020).

    https://doi.org/10.1016/j.enbuild.2020.110318

  7. Behfar, Alireza / Yuill, David / Yu, Yuebin (2019): Automated fault detection and diagnosis for supermarkets–method selection, replication, and applicability. In: Energy and Buildings, v. 198 (September 2019).

    https://doi.org/10.1016/j.enbuild.2019.06.011

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