The test process date based quality defect detection strategy for spacecraft components

A large amount of data has been generated during laboratory tests of the spacecraft components. However, due to the lack of systematic data mining strategy, these data were remaining underutilized. This paper proposes a quality defect detection strategy, which can extract abnormal information from the test process data. Specifically, an overall process is proposed and related data analysis methods is analyzed. In addition, a case study is carried out, and the results shows that the quality defect detection strategy can build the successful envelope with the test data of historical products, and effectively discriminate whether the quality of the current test product meets requirement.