Research Of The EMU Component Life Prediction And Life-cycle Of EMU

In recent years, China’s transportation business has been rapidly developed and theconstruction of the railway network has been noticed. With the Beijing-Shanghaihigh-speed rail and a number of high-speed railway lines built and put into operation,China’s high-speed rail is tend to more improved and exquisite in constantly practice.High-speed rail technology had such rapid development, because of its large volume, lowenergy consumption, and a characteristic of more quickly and convenient than other modesof transport based on a relative higher safety and comfort.But with the improvement of the running speed of the rolling stock, the increasingdifferences in the operating environment of the vehicle brought about a growing problem offatigue damage. In addition,Currently our overhaul Mechanism of EMU vehicles is regularmaintenance mechanism, therefore, relatively accurate fatigue life of EMU predict vehicleparts, not only of great significance to improve EMU ’s safety and reliability, while alsoproviding a theoretical basis for EMU maintenance spares program. Besides, as ahigh-speed transport equipment and under the premise of ensuring reliability, how toachieve EMU vehicle’s scientific management and cost optimization is a vital research.In the field of component life prediction, the main research method is divided intodeterministic fatigue life prediction methods and uncertainty fatigue life predictionmethods. The deterministic fatigue life prediction methods mostly based on S-N curve,cyclic stress-strain curve of materials or components, combined with fatigue cumulativedamage theory or finite element analysis, to predict the fatigue life of components. Thismethod only considers the material fatigue under normal circumstances and fatiguecharacteristics of their particular force part and did not fully take into account the damageparts in the actual use of the process the uncertainties caused by the outside world. Takinginto account prominent uncertainties of the EMU operation and the lack of data, the thesisestablish EMU component fatigue life prediction and life-cycle estimation model based ongray system.In this thesis, the mechanical structure and function of the EMU vehicles are brieflyanalyzed. Due to the relative complexity of vehicles EMU actual operating environment,the factors leading to fatigue damage of the EMU vehicle components has greatuncertainty, but this uncertainties can not be taken into account with the traditionalmethods. Therefore, this paper uses gray system theory approach to the EMU vehiclefatigue phenomenon research. Choosing EMU parts as the research object, establishing themodel of GM (1,1), combined with gray relational analysis, to predict the fatigue life ofcomponents and simulate in the LabVIEW environment, compared to the traditional method of fatigue life,the method based on gray system theory can improve the predictionaccuracy. On this basis, in order to achieve EMU vehicle reliability and economic unity,combined with gray system theory, establish the the whole life cycle of the EMU andsimulate in the LabVIEW environment, ultimately obtained a Life cycle based on theminimum LCC.The main research contents is around the reunification of the reliability and economyof the EMU vehicle and focus on the problem of component life prediction and EMU Lifecycle based on the minimum life cycle cost modeling and simulation, with a view of EMUequipment reliability management and cost optimization of reference.