Heavy-duty mine electric-wheel dump truck is one of the commonly used vehicles for large-scale open-pit mines. In harsh and complex application environment of the mining area, failure rates of key components of electric-wheel dump truck are high, and once a failure occurs, it is difficult to repair and replace, which will affect mine production. Regular inspection and fault repair used in routine maintenance will also bring greater costs to mine owners.This paper introduces an intelligent operation and maintenance scheme for electric drive system of mine electric-wheel dump truck based on state repair. Different from the conventional fault diagnosis and maintenance scheme, it does not need to collect and analyze signals through acceleration sensors on critical locations to obtain the results. Instead, it can be based on the real-time electrical signals collected by the traction converter of the drive system and using the vehicle-ground collaborative big data platform, the early identification and precise fault-positioning of key components of the drive system are realized. The method not only effectively improves the maintenance efficiency and reduces the cost of drive system of mine electric-wheel dump truck, but also can greatly reduce the cost of fault diagnosis.