Description: 基于BP神经网络的电机转子故障诊断的研究，采用trainbpx训练函数。-Based on BP neural network for fault diagnosis of rotor study using trainbpx training function. Platform: |
Size: 30720 |
Author:王宇飞 |
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Description: 故障诊断 基于BP神经网络的故障诊断系统 1生成BP网络2.训练和自适应调整-Fault diagnosis based on BP neural network fault diagnosis system for a generation of BP network 2. Training and adaptive adjustment Platform: |
Size: 1024 |
Author:范范 |
Hits:
Description: 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。
-Fault Diagnosis of Vehicle Transmission Gear Based on Time
Series Analysis and Neural Networks
Yin Andong & Yang Zhengmin
School of Mechanical and Automobile Engineering,Hefei University of Technology,Hefei230009
[Abstract] 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.
Platform: |
Size: 37888 |
Author:whb |
Hits:
Description: 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。
-Fault Diagnosis of Vehicle Transmission Gear Based on Time
Series Analysis and Neural Networks
Yin Andong & Yang Zhengmin
School of Mechanical and Automobile Engineering,Hefei University of Technology,Hefei230009
[Abstract] 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.
Platform: |
Size: 50176 |
Author:whb |
Hits:
Description: 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.
Platform: |
Size: 46080 |
Author:whb |
Hits:
Description: 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.
Platform: |
Size: 57344 |
Author:whb |
Hits:
Description: 对神经网络在故障诊断中的应用进行了探讨，针对潜油电泵机组故障的多态性
和多层次性，结合振动数据的轴向频域特征，建立了基于高斯-牛顿法的 BP 神经网络，
通过对其训练和学习，实现了三种常见故障的有效诊断。-The neural network fault diagnosis in the paper discusses the application, esp for fault the polymorphism of unit
And more layered, combined with the data of the axial vibration frequency characteristics, based on gauss-Newton method of the BP neural network,
Through their training and learning, to realize the three common fault diagnosis of effective.
Platform: |
Size: 1338368 |
Author:杨光乔 |
Hits:
Search - neural network training for fault diagnosis