作者：赵庆海, 陈一军, 高庶勤

作者单位：西安理工大学印刷包装工程学院, 陕西西安 710048

关键词：MATLAB软件; LabVIEW软件; BP神经网络; 齿轮; 故障识别

摘要：

为了实现对齿轮故障的智能识别,采用LabVIEW图形化编程语言建立齿轮故障识别的人机交互界面并对信号做初步处理,利用MATLAB提供的BP神经网络工具箱建立故障诊断模型,通过LabVIEW提供的MAILAB Script脚本节点实现二者的混合编程。齿轮故障诊断实例表明MATLAB和LabVIEW混编程序既发挥了仪器语言的优势,又扩展了算法工具箱,探索了新型智能虚拟仪器的开发途径,同时提高了系统开发效率。

Gear fault recognition by programming with MATLAB and LabVIEW

ZHAO Qing-hai, CHEN Yi-jun, GAO Shu-qin

College of Printing and Packaging Engineering, Xi'an University of Technology, Xi'an 710048, China

Abstract: In order to identify the gear faults, the LabVIEW graphical program language had been used to build the human-computer interface and process the signal primarily, and the BP NN provided by MATLAB had been used to build the fault diagnosis model, then the hybrid program was actualized by MAILAB Script node provided by LabVIEW.The instance of gear fault diagnosis indicates the hybrid programming not only takes the advantage of the instrument language, expands the algorithm toolbox, but also investigates the development path of the new intelligence virtual instrument, and improves the efficiency of system developments at the same time.

Keywords: MATLAB; LabVIEW; BP neural network; Gear; Fault recognition

2009, 35(4): 36-39  收稿日期: 2008-9-16;收到修改稿日期: 2008-12-3

基金项目: 

作者简介: 赵庆海(1964-),男,副教授,主要研究方向为测控技术在印刷包装工程中的应用。

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