Study on the Recursion Neural Network Method with the Deviation Unit Applied to Fault Diagnosis of Armored Vehicle Gearbox

摘要：

On the basis of introducing the BP neural network and its shortage, the paper put forward the recursion neural network method with deviation unit and applied it to the fault diagnosis of armored vehicle gearbox. By setting the fault to gear which is the basic parts of the gearbox, the validity of arithmetic applied to fault diagnosis of the armored vehicle gearbox is studied on the improved arithmetic of the BP neural network and the recursion neural network method with the deviation unit. The research enunciates the recursion neural network method with the deviation unit compares BP neural network with quick training speed, high accuracy, save time, accurate fault fix position.

关键词： Gearbox neural network fault diagnosis1

作者: YAO Zhuting PAN Hongxia

作者单位: College of Mechanical Engineering and Automatization North university of China, Taiyuan, 030051

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）