Research On Reliability Of Detector Box Of Axle Counter

Detector box in axle counter is also called high-frequency examine ark of axle counter (EAK). As a concernful component of axle counter track section, its reliability relates the credibility of axle counter. For the safety of the train route, it is necessary to consider the reliability of EAK where the axle counter is used.This paper references the interrelated standards about the research of railway equipments'reliability and safety. Take JZ1-H EAK, made in ChengDu railway communication equipment factory, as an example, and use reliability engineering theory and method to make the reliability configuration up.1 According to the elements circuit diagram,finish the partition of task modules and analyze the logic relations between them, give the system and subsystem reliability block diagram.2 Based on GJB/Z299B-98(reliability prediction handbook for electronic equipment), determine the reliability parameter of each circuit component, and finish the reliability parameter prediction of the whole system. (All devices model and device quality grading parameters used in the prediction is offered by ChengDu railway communication equipment factory,this paper to verify the authenticity of its)3 Assort the failure data about the actual use of EAK, use methods in probability and statistical theory to do some analysis about the failure data, from which we will get another reliability parameter. Then compare this with the result of prediction, and find the reason for the difference.4 Analyze different failure models of circuit component, build up the fault tree for the system, and do qualitative and quantitative analysis on reliability.5 Finish the Failure Mode, Effect and Criticality Analysis (FMECA), including the qualitative and quantitative analysis of power board, transporter board and transducer board, educe the criticality matrix, sum up key components which influence the reliability of whole system seriously.Besides doing the system reliability analysis in theory, this paper does more analysis based on actual data, which makes the calculation more believable. it provides a new way to combine reliability theory with practice.