This paper describes a set of reliability assessment methods of signaling equipment for different life cycles.A reliability analysis method based on accelerated life test is proposed for the equipment research&development or testing phase,so that the equipment failure data can be obtained in a short time to establish the Arrhenius model under high stress conditions.Thus,the equipment mean time between failures(MTBF)can be derived under the normal stress profile.Moreover,a failure rate analysis method based on field maintenance data is proposed for the equipment field operation phase,so that the equipment wear state can be accurately analyzed through the non-parametric estimation method when the failure occurrence time data do not conform to the specific distribution.These two reliability assessment methods are put into practice by the example of computer based interlocking(CBI)equipment.The accuracy and consistency of the models built by different reliability assessment methods are cross verified through the analysis and assessment results of these two methods.
different life cyclescomputer based interlockingaccelerated life testdistribution fitting
维普
万方数据
