In order to solve the problem of real-time analysis of flow field performance in a high-speed equipment test, the data acquisition and analysis technology of the equipment was studied. The data characteristics and performance analysis requirements of a high-speed test equipment were described, and the credibility of the collected data was verified. Aiming at the unbalanced sample data in each core system module, the modeling analysis of each core system was carried out based on bagging ensemble learning, and the flow field performance analysis of the equipment was realized. The practical application results show that the method completes the flow field performance analysis of the core system and improves the intelligent management and control level of the equipment.