By analyzing the working characteristics of the liquid rocket engine, strategies of applying data mining from the point of view of the data warehouse for FDD of LRE are proposed. The data mining methods possibly applicable to different topics in the fault detection and diagnosis of LRE are compared. Primary research results show that such data mining methods as clustering, classification, association, time-series analysis and outlier analysis are feasible in the FDD of LRE.