文件名称:13
- 所属分类：
- 人工智能/神经网络/遗传算法
- 资源属性：
- 上传时间：
- 2012-11-26
- 文件大小：
- 45kb
- 下载次数：
- 0次
- 提 供 者：
- w**
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
采用时序分析和BP神经网络,建立了基于时序-神经网络的车辆变速器齿轮故障诊断系统。通过对车辆变速器齿轮运行状态特征信号进行时序分析和特征向量提取,并以此作为BP神经网络的输入向量进行网
络训练,从而实现变速器齿轮运行状态的识别与故障诊断。该系统应用于LC5T81变速器齿轮的故障诊断中,能
够比较准确地识别与诊断出变速器齿轮的跑合运行状态、磨损运行状态和故障运行状态。验证表明该诊断系统有
效、可行。
-Based on time series analysis and BP neural networks, a fault diagnosis system is built for ve-
hicle transmission gears. By time series analysis and eigenvectors extraction on operation status signals of trans-
mission gears, which are taken as inputs for neural network training, the operation status identification and fault
diagnosis for transmission gears are realized. In a fault diagnosis on the gears of a real transmission, the system
can accurately identify the operation status (running in, worn or fault). The result shows that the system is ef-
fective and feasible.
络训练,从而实现变速器齿轮运行状态的识别与故障诊断。该系统应用于LC5T81变速器齿轮的故障诊断中,能
够比较准确地识别与诊断出变速器齿轮的跑合运行状态、磨损运行状态和故障运行状态。验证表明该诊断系统有
效、可行。
-Based on time series analysis and BP neural networks, a fault diagnosis system is built for ve-
hicle transmission gears. By time series analysis and eigenvectors extraction on operation status signals of trans-
mission gears, which are taken as inputs for neural network training, the operation status identification and fault
diagnosis for transmission gears are realized. In a fault diagnosis on the gears of a real transmission, the system
can accurately identify the operation status (running in, worn or fault). The result shows that the system is ef-
fective and feasible.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
基于经验模式分解_EMD_的齿轮箱齿轮故障诊断技术研究.caj