Telemetry data is an important basis to reflect the health status of satellites.The correlation analysis of telemetry load data can reflect the overall operation status of satellites to a certain extent.Aiming at the problems of low efficiency and excessive memory consumption of traditional association rule algorithm,a satellite load association rule algorithm based on RS_Hash frequent item set was proposed.Firstly,the dynamic random sampling method is used to obtain the sample data of the transaction database,and the sampling error and sampling stop rules are designed to determine the optimal sample size.Secondly,hash buckets are used to store frequent item sets in the extracted samples, thus reducing the occupied memory and improving the operation efficiency of the algorithm.Finally,three public data sets which are similar to the load data and satelite load data sets are used to carry out experiments.The results show that good results are achieved on the public data sets,especially on the sateliteload data sets with large data magnitude. Under the condition of different transaction lengths and support degrees,compared with Apriori,PCY,SON,FP- Growth,RCM_Apriori and Hash_Cumulate algorithm,the average time efficiency of RS_Hash algorithm is improved by 75.81%,49.10%,59.38%,50.22%,40.16%and 39.22%.