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In accordance with the low level of aircraft power unit’s intelligent fault diagnosis and maintenance automation, intelligent fault diagnosis system based on matlab was presented. Wavelet packet analysis was used to deal with the data from the monitoring sensor of APU; In order to ensure the monitoring sensor can truly reflect the capability of APU, “Min-Max” algorithm was creative used to judge it’s data. Through analysis the processed data to achieving symptom space mapping fault space by the intelligent fault diagnosis system. Finally the APS3200 types APU’s data was used to detected and analyzed the system. The experimental results shows that the intelligent fault diagnosis system has the character of learn fast, strong immunity of noise and fault diagnosis accurate. The system has an important meaning in improve APU maintenance efficiency, saving cost and practical application.