摘要
灰色系统作为行之有效的设备状态预测工具之一,具有所需数据样本少且数据训练时间短等特点。针对当前接触网设备的运行检修以周期性平推检查为主的特点,本文使用MATLAB语言编制预测模型,对实际线路接触网检测数据进行分析预测。预测结果表明,该方法预测精度可满足实际工程需要,能够有效地应用于接触网设备状态的在线预测,给接触网运营检修工作提供参考。
Gray system,as one of the most effective prediction of equipment state,has the characteristics of smaller sample size and shorter training time.According to the characteristic of periodic examination being the main repair work of overhead contact system（OCS）,this article predict the equipment state on the basis of the actual inspection data by using the prediction model in MATLAB language.The result of prediction showed that the accuracy of this method could meet the actual engneering requirement,and could be effectively applied to the online prediction of equipment state of OCS,so as to give reference for the OCS＇s repair work.
出处
《电气化铁道》
2011年第6期32-34,共3页
Electric Railway
基金
国家863计划重点项目(2009AA110302)资助
