摘要
在非拆卸状态下,传统的齿轮箱故障诊断手段往往依赖于专家的经验判断。但是,由于齿轮箱是一种非常复杂的传动机构,所以专家的经验并不能解决所有的诊断问题。本文应用Elman神经网络对拖拉机齿轮箱进行故障诊断,经过试验,表明方法切实有效。
Under the non-disassemble condition, the traditional method of fault diagnosis of gearbox relies on the experience of experts. Due to its complex, therefore the experience of expert can not solve all diagnosis problems. This article applies the Elman neural network to carry on the failure diagnosis to the gearbox. The experiment indicates that the method is practical.
出处
《现代机械》
2009年第6期54-55,共2页
Modern Machinery
