铁道牵引供电系统故障诊断的约简模型与应用

摘要

Railway traction power supply system troubleshooting complex information , data tables to build relationships to establish fault diagnosis model based on approximate reduction methods to quickly to predict failure may occur , judgment and treatment, so as to effectively protect the rail transport safety , improve transport efficiency. First, from the traction substation power distribution equipment and catenary power system collected a total of 34 signals, input as data mining;Secondly, approximate reduction algorithm to construct railway traction power supply system fault diagnosis model , data from discrete technology , approximate reduction , fault prediction are described in detail;Finally, an example to illustrate the effectiveness of this approach , and thus correctly predict device performance and fault status play an active role in guiding .%针对铁道牵引供电系统故障诊断中的复杂信息，构建关系数据表，基于近似约简方法建立故障诊断模型，以快速地对可能发生的故障进行预测、判断和处理，从而有效地保障铁道运输安全，提高运输效率。首先，从牵引变电所的变配电设备和接触网供电系统处共收集34路信号，作为数据挖掘的输入量；其次，利用近似约简算法构建铁道牵引供电系统故障诊断模型，从数据离散化，近似约简、故障预测方面进行了详细介绍；最后，通过实例说明了这种方法的有效性，从而对正确预测设备性能和故障状态起到积极的指导作用。