Aiming at the problem of varieties selection in equipment maintenance equipment raising, it mines and analyzes the stock data of typical equipment normal working material by the decision tree classification method. It describes the basic business of equipment raising, the selection requirements of raising varieties, and the function of raising decision tree. Applying the C4.5 algorithm, it selects split attributes by calculating the information gain ratio, reduces the relative attribute, simplifying the attribute range, and constructing the decision tree for equipment maintenance material. And then, it obtains the key factors and the importance of each factor. The application results show that this analysis can provide an important reference for equipment support scheme optimization.