Big Data Application in Aerospace Product Intelligent Quality Control: A Survey

A systematic approach to quality management has been accumulated in aerospace industry, and also a large amount of quality data has also been accumulated, making it possible to mine the potential value of aerospace quality big data. In this paper, we investigate the application of vast amounts of data in process monitoring, quality prediction, and product process optimization. About Aerospace products quality control, this paper proposes scenarios for applications ranging from the collection and storage of quality data to what can be applied in real-time decision making such as traceability analysis, and what can be used to prevent quality risks through data statistical analysis and related business experience analysis. Finally, taking a flywheel product as an example, the data envelope analysis method is successfully applied to analyze and apply the test data of the product, and it is proposed that knowledge precipitation can promote continuous quality improvement. This paper provides some ideas on how to complete big quality data collection, integration and ways to mine the value of aerospace quality data.