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Optimization of Statistical Methodologies for Anomaly Detection in Gas Turbine Dynamic Time Series

Research article (Volume 9: Oil and Gas Applications; Supercritical CO2 Power Cycles; Wind Energy, 2017) · cited 13× · AI/ML
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Optimization of Statistical Methodologies for Anomaly Detection in Gas Turbine Dynamic Time Series

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Optimization of Statistical Methodologies for Anomaly Detection in Gas Turbine Dynamic Time Series is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Optimization of Statistical Methodologies for Anomaly Detection in Gas Turbine Dynamic Time Series. Retrieved May 24, 2026, from https://4ort.xyz/entity/optimization-of-statistical-methodologies-for-anomaly-detection-in-gas-turbine-dynamic-time-series
MLA “Optimization of Statistical Methodologies for Anomaly Detection in Gas Turbine Dynamic Time Series.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/optimization-of-statistical-methodologies-for-anomaly-detection-in-gas-turbine-dynamic-time-series.
BibTeX @misc{4ortxyz_optimization-of-statistical-methodologies-for-anomaly-detection-in-gas-turbine-dynamic-time-series_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Optimization of Statistical Methodologies for Anomaly Detection in Gas Turbine Dynamic Time Series}}, year = {2026}, url = {https://4ort.xyz/entity/optimization-of-statistical-methodologies-for-anomaly-detection-in-gas-turbine-dynamic-time-series}, note = {Accessed: 2026-05-24}}
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