2026-10-11T03:56:17Z https://data.mendeley.com/oai

oai:data.mendeley.com/fy3h9gxf2n.1 2026-06-30T04:27:44Z

Chen, Yin Aero-Engine Multi-Station Thermodynamic Temperature Regression Dataset Mendeley Data This dataset is curated for researching multi-objective thermal state regression in aerospace engineering. It primarily focuses on the simultaneous prediction of thermodynamic temperatures at three critical engine stations (T25, T3, and T5). Key Technical Specifications: Data Source: Public aero-engine operational time-series records. Task Type: Multi-objective continuous temperature trajectory regression subject to external disturbances. Data Extraction Method: All samples are extracted using a fixed-size temporal sliding window approach to preserve dynamic feature dependencies and transient thermal boundaries. Intended Applications: Virtual sensing, thermal dynamics regression, cross-system transferability verification, and uncertainty quantification (UQ). Aerospace Engineering Thermal Engineering Dataset doi:10.17632/fy3h9gxf2n.1 oai:data.mendeley.com/fy3h9gxf2n.1 Creative Commons Attribution 4.0 International http://creativecommons.org/licenses/by/4.0 https://data.mendeley.com/datasets/fy3h9gxf2n 2026-06-30T04:27:44Z