Data Analysis and Fault Diagnosis Methods for Launch Vehicles
A data analysis and fault diagnosis method for launch vehicles based on data mining is proposed to explore useful infor-mation from a large amount of historical test launch data,providing services for rocket fault diagnosis,product design,and status de-tection.In view of the characteristics of rocket data and the needs of actual business analysis,the rocket data analysis platform is es-tablished by using the correlation analysis method based on Pearson coefficient,the envelope analysis method based on Hilbert trans-form,and the fault diagnosis method based on window sliding function,the deep-level exploration and diagnosis of launch vehicle data are achieved.The rocket data analysis platform is verified with the test data of a certain type of rocket.The results show that the data driven rocket data analysis platform provides accurate correlation analysis,the parameter envelope is accurately drawn,and the abnor-mal data is 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.
NETL
NSTL
万方数据
