A comparative study of data-driven and physics-based gas turbine fault recognition approaches

Research article (Proceedings of the Institution of Mechanical Engineers Part O Journal of Risk and Reliability, 2021) · cited 11× · AI/ML
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A comparative study of data-driven and physics-based gas turbine fault recognition approaches

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A comparative study of data-driven and physics-based gas turbine fault recognition approaches is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A comparative study of data-driven and physics-based gas turbine fault recognition approaches. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparative-study-of-data-driven-and-physics-based-gas-turbine-fault-recognition-approaches
MLA “A comparative study of data-driven and physics-based gas turbine fault recognition approaches.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparative-study-of-data-driven-and-physics-based-gas-turbine-fault-recognition-approaches.
BibTeX @misc{4ortxyz_a-comparative-study-of-data-driven-and-physics-based-gas-turbine-fault-recognition-approaches_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A comparative study of data-driven and physics-based gas turbine fault recognition approaches}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparative-study-of-data-driven-and-physics-based-gas-turbine-fault-recognition-approaches}, note = {Accessed: 2026-05-24}}
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