In order to tap the information and knowledge hidden behind the inertial apparatus test data, applying data mining technology and taking Clementine12.0 as platform to establish model and realize the fault diagnosis of inertial instruments. Proposing BP algorithm based on two-stage clustering and its improving, compared with traditional BP algorithm, the prediction accuracy and universal capacity have been improved.