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The equipment maintenance of monopulse radar is planed, which relies on manpower, and also cannot avoid the huge loss caused by equipment failure. It`s more and more difficult to supply the actual demand of TT&C system in spacecraft launching site. Based on the current situation about the maintenance of monopulse radar equipment in spacecraft launching site, the feasibility of fault prognosis technology applies in equipment maintenance of monopulse radar was researched, and the basic procedure and method of fault prognosis for monopulse radar was summarized. Combined with engineering practice, the degradation process of individual parameter was predicted by using ARIMA time series analysis, and the degradation process of system parameter was predicted by using Neural network analysis. The result was verified to Meet the demand of the monopulse radar equipment in space launch site.