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The rapid development of spacecraft test technology brings exponential growth of test data. The traditional data management and analysis methods cannot meet the requirements of equipment development and optimization design. A data driven intelligent fault diagnosis technology of spacecraft is proposed, which can automatically obtain the threshold value, data link characteristics and correlations of parameters from the historical aircraft test data by integrating AI technology, and form an accurate spacecraft parameter knowledge model base. By constructing a data driven intelligent fault diagnosis technology of spacecraft, real-time data can be interpreted automatically and intelligently.