Electric Locomotive Transformer Integrated Testing And Fault Diagnosis System Design And Research

Electrical locomotive traction transformer is one of important locomotive equipment in electric traction systems, which is the key equipment for voltage transformation and power distribution. It also is the largest in the weight and size and the most expensive single equipment in electric locomotive or EMU (Electric Multiple Units). So electric locomotive traction transformer, whose condition directly impact on the operation of electrical railway system, is the heart and is the power source of the whole train. The production of rail transport will be interrupted, while a breakdown is occurred in traction transformer.At first, the study situation of the testing and fault diagnosis for the electric locomotive traction transformer and the significance of this issue were introduced in this paper. On the basis of the description of the electric locomotive traction transformer characteristics, the design of the testing and fault diagnosis system for the electric locomotive traction transformer was showed in this paper.The hardware and software design and implementation of the comprehensive testing and fault diagnosis system for electric locomotive traction transformer was introduced in detail in this text. The system is built up by the functional power, the upper industrial computer system, the PLC control system and the fault diagnosis system. A layered design idea is adopted in the system, the upper IPC is responsible for the management of the whole testing system, and the PLC control sensors regulator, transformers and relays to combinate different logic, achieving different 12 kinds output power. Meanwhile, the fault diagnosis system for electric locomotive traction transformer was built, which was based on DGA (dissolved gases analysis) of power transformer. The macromolecule velum oil-gas segregator and the gas-sensitive sensor were designed, which is used to examine state signal of diagnostic gas and data analysis. The BP ANN'S (artificial neural network) technology was also been used to achieve the traction transformer fault diagnosis function in this paper. The automatic testing and fault diagnosis for the traction transformer is first realized in this system, which was rewarded with the third of the Scientific and Technological Progress Prize in Hunan province in 2007. Practice has proved that the system can greatly improve efficiency, and an accurate and high reliable testing data can be obtained.