Aero-Engine Multi-Station Thermodynamic Temperature Regression Dataset

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).