Fig. 1. Global heterogeneous data integration framework for intelligent aerospace manufacturing

Fig. 2. Schematic diagram of the data acquisition in an actual production process

Fig. 3. Architecture of the equipment monitoring function

Fig. 4. Framework of the data acquisition with the application system

Fig. 5. Schematic diagram of the multi-dimensional index model for the manufacturing big data

Fig. 6. Semantic matching diagram of the multi-scale manufacturing data for the equipment attribute information

Fig. 7. Analysis diagrams of the time-scale conversion and frequency components of the manufacturing data in the aerospace workshop

Fig. 8. Feature extraction methods for the noisy manufacturing data

Fig. 9. Measurement methods for the correlation relationships of the heterogeneous manufacturing data

Fig. 10. Relationship network model of the manufacturing data for a certain aerospace product

Fig. 11. Schematic diagram of the causal relationship network of the manufacturing data for a certain aerospace product

Fig. 12. Display diagram of the intelligent manufacturing system platform

Fig. 13. Deviation distribution of the online measurement for the cylinder section curvature

Fig. 14. Prediction and analysis on the roll bending ratio of the cylinder section curvature

Fig. 15. Fitting results of the thermal error of a certain vertical machining center in the Z-direction

Fig. 16. XGBoost pseudocode for the production order delay analysis

Fig. 17. Production performance prediction model for the scheduling schemes based on the graph network

Fig. 18. Verification results