Abstract: In order to ensure the safety and continuous operation of the mine flameproof type dry transformer, based on the hardware device of the fault diagnosis and early warning system applied to the mine flameproof type dry transformer as a base, a fault early warning software system of the mine flameproof type dry transfor mer was developed, based on multi source information integration under the LabVIEW platform. The current, voltage, temperature, local electro-discharge and other par ameters of the mine flameproof type dry transformer were real timely collected as the fault symptom information, and the feature value of each monitoring and measure d parameter was collected as the input information of the fault diagnosis system. The fault diagnosis module was designed based on the RBF neural network and the fa ult condition of the transformer would be determined with comprehensive diagnosis. The fault early warning interface was designed to real timely display the fault condit ion of the transformer and to make a potential fault early warning. The system was installed and had a trial operation Sihe No. 2 Mine of Shanxi Jincheng Anthracite Co al Mining Group and the ioeration results showed that the system could realize the on-line early warning function of several potential faults of the mine flameproof type dry transformer.