Through the temperature, vibration, shock to synchronize or quasi synchronous acquisition, and using multi-source information fusion technology and improved D-S evidence theory, a bearing-gear fault diagnosis method based on multiple physical quantities information fusion of locomotives running gear was put forward. The research results show that the method for the diagnosis effect is better than a single physical quantity, improving the accuracy of diagnosis, and provides an effective means to further improving automation diagnosis.