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研究了当前我国机车检修的现状,在传统的机务检修基础上建立了机车当量公里的模型,将机车运行过程中的公里量、负荷量和时间量通过人工神经网络训练进行学习,形成了一种确定机车检修周期的新方法,解决了确定我国铁路机车检修周期问题。
The current status of locomotive maintenance in our country is studied. Based on the traditional locomotive maintenance, a model of locomotive equivalent kilometer is established, and the kilometers, loads and amounts of time during locomotive operation are trained by artificial neural network to form a Determine the locomotive maintenance cycle of new methods to solve the problem of determining the maintenance cycle of China’s railway locomotives.