The Assessment Of The Reliability Of Railway's Power Distribution System Based On Multiple Factors

The railway's power distribution system is important to the railway's power supply system. For supplying for many important equipment and devices, which are used to keep the railway normally working, the reliability of the railway's power distribution system is quite important for the railway's safety and reliability.The railway's power distribution system is exposed in the environment. The climate and the nature's erosion have great influence on the reliabitliy of the system. How to evaluate and improve the reliability is urgent for the construction and maintain of the railway.Currently, there are a few researches on this field, and most of which are limited in the system itself, without the external factor. In such a case, this paper built a reliability model based on component life time factor, climate factor and economical factor, and presents a method of multiple factors for the relibiltiy evaluation.Based on deep research on the feature of the railway's power distribution system, built a model by the Failure Mode and Effect Analysis, and it was developed by the network equivalence and min-cut method. Finally a railway's power distribution system evaluation method based on multiple factors was established.Multiple faults have great influence on the evaluation of reliability. For a precese calculation of the influence, a method was present, named multiple faults influence degree analysis (MFIDA). Based on probability, the method finds out the proportion of multiple faults'probability to single fault's probability. MFIDA put up a method to calculate the probability of multiple faults and offer reference to make appropriate choice with multiple faults for reliability evaluation.With the railway's power distribution system evaluation method based on multiple factors, relevant module was developed based on C++ builder 6.0 and integrated software for calculating reliability was developed.The reliability evaluation and analysis on different railway power distribution systems showed a quantitative conclusion of the influence of multiple factors.