VR-Enabled Digital Twin Framework for Real-Time Wind Turbine Fault Detection and Sustainability Monitoring

Huma Tehreem, Muhammad Zahid Iqbal, Olugbenga Akinade

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DOI: 10.3390/s26206415
Published: 2026-10-10
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s26206415,
  title = {VR-Enabled Digital Twin Framework for Real-Time Wind Turbine Fault Detection and Sustainability Monitoring},
  author = {Huma Tehreem and Muhammad Zahid Iqbal and Olugbenga Akinade},
  year = {2026},
  journal = {Sensors},
  doi = {10.3390/s26206415},
  url = {https://doi.org/10.3390/s26206415}
}

RIS

TY  - JOUR
TI  - VR-Enabled Digital Twin Framework for Real-Time Wind Turbine Fault Detection and Sustainability Monitoring
AU  - Huma Tehreem
AU  - Muhammad Zahid Iqbal
AU  - Olugbenga Akinade
PY  - 2026
JO  - Sensors
DO  - 10.3390/s26206415
UR  - https://doi.org/10.3390/s26206415
ER  -

APA

Tehreem, H., Iqbal, M. Z., & Akinade, O. (2026). VR-Enabled Digital Twin Framework for Real-Time Wind Turbine Fault Detection and Sustainability Monitoring. Sensors. https://doi.org/10.3390/s26206415

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crossref · retrieved 2026-11-04T08:53:20.078Z