Research Of Fault Diagnosis And Prediction On LED Lighting System Of Railway Vehicle Compartment

Energy saving and environmental protection of the LED lighting system of rail vehicle compartment is rapidly replacing the traditional fluorescent lamps. But there are still many problems in LED lighting control system at present, especially the problem of reliability product.Its reliability research has become the focus of enterprise and research workers. Therefore, more and more people pay attention to the reliability of LED lighting control system. Usually, degradation failure is accompanied by the whole life cycle of the product, and the performance of the degradation will affect the life of the product. So, estimating the remaining life of the LED lighting control system accurately in a short period of time has become a concern of enterprises and research workers. In the support of national natural science foundation project “research on the maintenance of complex electromechanical system fault prediction and optimal based on Virtual Reality Technology”, the reliability of the LED lighting control system of the railway vehicle compartment was studied.Firstly, the LED lighting control system of the railway vehicle compartment was divided into main circuit and control circuit in function. The main power supply of the power supply circuit, the LED AC power supply, the operate principle of LED lights were described in detail, the major core circuit, CAN bus, the micro-processor’ coreand the working principle of the brightness collector in the control circuit were analysed.Secondly, on the basis of deep analysis of the method of reliability research, the reliability analysis of LED lighting control system of railway vehicle compartment was carried out by using the reliability block diagramand.The MTTF value of the whole circuit were analyzed by using the LED drive power as an example. Fault tree analysis method was designed for quantitativeandqualitativeanalysis of the LED lighting control system of railway vehicle compartment. All the factors that affect the reliability of the system can be found and the weakest link can be determined. In order to analyze the influence degree of the weakest link for the system reliability, a method of estimating the residual life of the Wiener process with drift parameters was proposed, and the parameters are estimated based on the Bayes method.The detailed process of parameter estimation and the probability density function of remaining life were derived.Accelerated degradation test of LED drive power supplywas designed in this paper,the degradation data of the output current of the LED drive power supply under different pressure gradientswas measured. On this basis, the reliability evaluation and remaining life prediction of LED drive power supply were achieved under different temperature. Accordingly, the correctness and feasibility of the theoretical method were demonstrated.The approach can improve the precision of assessment greatly and reduce the uncertainty of forecast. It also provides reference and methodology for life prediction of other similar products.Finally, in order to improve the reliability of the LED lighting control system of the railway vehicle compartment, the fault-tolerant design, reinforcement design and were put forward. The use of reliability block diagram showing the logical relationship between the various components. According to different reliability diagram model, the reliability expression of the model was listed. From the point of view of life and economy, the optimal operation scheme of LED drive power supply was determined. The reliability of the LED lighting control system of the railway vehicle compartment is improved.