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A data mining based data analysis and fault diagnosis method for launch vehicles is proposed to explore useful information from a large amount of historical test launch data, providing services for rocket fault diagnosis, product design, and status detection. In view of the characteristics of rocket data and the needs of actual business analysis, the rocket data analysis platform is established by using the correlation analysis method based on Pearson coefficient, the envelope analysis method based on Hilbert transform, and the fault diagnosis method based on window sliding function. The rocket data analysis platform is verified with the test data of a certain type of rocket. The results show that the correlation analysis of the data driven rocket data analysis platform is accurate, the parameter envelope is accurately drawn, and the abnormal data can be effectively identified. The analysis results are consistent with the theoretical knowledge, which has high practical value. Compared to traditional data analysis methods, it is more accurate and comprehensive.