基于神经网络的装载机故障诊断模型

计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (16): 206-209.

基于神经网络的装载机故障诊断模型

孙涌^1,2，崔志明²，芮延年³

1.河海大学水利水电工程学院，南京 210098
2.苏州大学计算机科学与技术学院，江苏苏州 215006
3.苏州大学机电工程学院，江苏苏州 215006

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-06-01 发布日期:2007-06-01
通讯作者: 孙涌

Application research for loading machine’s fault diagnosis using neural network

SUN Yong^1,2，CUI Zhi-ming²，RUI Yan-nian³

1.Hohai University，Nanjing 210098，China
2.Institute of Computer Science and Technology，Soochow University，Suzhou，Jiangsu 215006，China
3.Institute of Engineering and Electric，Soochow University，Suzhou，Jiangsu 215006，China

Received:1900-01-01 Revised:1900-01-01 Online:2007-06-01 Published:2007-06-01
Contact: SUN Yong

摘要/Abstract

摘要： 首先分析了故障诊断的常用方法及其优缺点，设计了装载机故障诊断的流程，并阐述了流程中一些重要环节的设计和功能。然后在分析装载机信号的基础上提取了装载机信号的故障特征，相继建立了用于装载机故障诊断的BP神经网络和组合神经网络模型，并比较两者的优缺，选择更适合装载机故障诊断的模型。

Abstract: This paper begins with the analyzing of existing methods for fault diagnosis and their advantages and disadvantages.Then it designs the process of loading machine fault diagnosis and gives the functions and detail designs of some important components in the process.It extracts fault features based on analysis of the loading machine signal.After that it founds two neural network models.One is BP neural network model，the other is assembled neural network model.Compared with the performance of the two models，this paper selects the fit one for loading machine fault diagnosis.

孙涌^1,2，崔志明²，芮延年³. 基于神经网络的装载机故障诊断模型[J]. 计算机工程与应用, 2007, 43(16): 206-209.

SUN Yong^1,2，CUI Zhi-ming²，RUI Yan-nian³. Application research for loading machine’s fault diagnosis using neural network[J]. Computer Engineering and Applications, 2007, 43(16): 206-209.