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Keywords: data-driven polynomial chaos
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Journal Articles
Publisher: ASME
Article Type: Research-Article
J. Eng. Gas Turbines Power. November 2024, 146(11): 111004.
Paper No: GTP-23-1290
Published Online: July 4, 2024
...Haohao Wang; Limin Gao; Guang Yang; Ruiyu Li; Baohai Wu In engineering practice, the amount of measured data is often scarce and limited, posing a challenge in uncertainty quantification (UQ) and propagation. Data-driven polynomial chaos (DDPC) is an effective way to tackle this challenge. However...
