现代电子技术Issue(20)：33-37,5.
带偏差单元递归神经网络齿轮箱故障诊断
Gearbox fault diagnosis based on recurrent neural network with bias unit
杨秋英 1陈卉1
作者信息
- 1. 首都医科大学 生物医学工程学院，北京 100069
- 折叠
摘要
Abstract
In order to realize the intelligentization of fault diagnosis of gearbox in a certain type of tank drive system,the gearbox fault diagnosis model based on a recurrent neural network with bias unit was established according to the theory of recur-rent neural network with bias unit. Aiming at the main faults in the gear box in a certain type of tank drive system,the data that collected by collector was preprocessed and the data of some faults set by people were analyzed by using recurrent neural net-work model with deviation unit. The results show that the recurrent neural network with bias unit can achieve satisfactory effect in the fault diagnosis for gear box in this type of tank drive system. The algorithm has high accuracy and good convergence. The innovation point is that the gearbox fault diagnosis model based on a recurrent neural network with bias unit has been used for the first time in the gearbox fault’s intelligent diagnosis in a simulation experiment.关键词
坦克传动系统/齿轮箱/故障诊断/递归神经网络Key words
tank drive system/gear box/fault diagnosis/recurrent neural network分类
信息技术与安全科学引用本文复制引用
杨秋英,陈卉..带偏差单元递归神经网络齿轮箱故障诊断[J].现代电子技术,2013,(20):33-37,5.
