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In view of the lack of fault detection index extraction process in current mechanical and electrical special equipment start-up fault detection methods, resulting in low system accuracy and high recall rate, a start-up fault detection system based on skeleton theory is designed. The rectifier current acquisition circuit module composed of diodes is designed to eliminate the switching arc. The solar photovoltaic panel or module is composed of L298N as the main driver chip to avoid damaging the voltage regulator. The L298N motor driver module is designed with 5V external power supply and large capacity filter capacitor on load tap changer is used to monitor the voltage and current at the low-voltage side of the transformer, judge the current load current, complete the hardware design of the system, redefine the discretization to obtain the discrete domain skeleton. Based on the skeleton theory, the fault detection indexes of node divergence, skeleton node and skeleton curvature are extracted, and the fault detection process is designed, and the system software design is completed. The experimental results show that the recall rate of the system is low, which can effectively improve the accuracy of fault detection.