Application of Neural Network in RailwayVehicle Gearbox Fault Diagnosis System

QI Zhen-guo; HOU Xiu-juan

doi:10.13890/j.issn.1000-128x.2014.01.026

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Application of Neural Network in RailwayVehicle Gearbox Fault Diagnosis System

更新时间：2021-12-13

- Application of Neural Network in RailwayVehicle Gearbox Fault Diagnosis System
- Electric Drive for Locomotives Issue 1, Pages: 97-99(2014)
- 作者机构：
  
  1. 唐山轨道客车有限责任公司制造技术中心
- 作者简介：
- 基金信息：
- DOI：10.13890/j.issn.1000-128x.2014.01.026
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QI Zhen-guo, HOU Xiu-juan. Application of Neural Network in RailwayVehicle Gearbox Fault Diagnosis System. [J]. Electric Drive for Locomotives (1):97-99(2014)
DOI：

QI Zhen-guo, HOU Xiu-juan. Application of Neural Network in RailwayVehicle Gearbox Fault Diagnosis System. [J]. Electric Drive for Locomotives (1):97-99(2014) DOI： 10.13890/j.issn.1000-128x.2014.01.026.

摘要

将BP 神经网络技术应用于铁道车辆齿轮箱故障诊断领域，搭建了BP 神经网络诊断模型，在此基础上提出了一种改进的BP 算法，并将常规诊断方法所提取的典型故障信号作为神经网络的输入数据，用改进的BP 神经网络进行仿真测试。测试结果表明，经过改进的BP 神经网络诊断系统具有较好的诊断效率和诊断精度，达到了预期的诊断结果。

Abstract

BP neural networks technology was applied to the fault diagnosis of railway vehicle gearbox, and BP neural networksdiagnose model was created. An improved BP algorithm was put forward, and using the typical fault signal extracted from the routinediagnostic methods as input data of the neural network, simulation and testing in terms of the improved BP neural network were carried out.The results showed that the improved BP neural network system had the better performance of fault diagnosis and fault identification, andcould achieve the anticipated diagnosis result.

关键词

铁道车辆齿轮箱BP 神经网络故障诊断仿真测试

Keywords

railway vehiclegearboxBP neural networkfault diagnosissimulation and testing

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