›› 2011, Vol. 24 ›› Issue (9): 128-.

• 论文 • 上一篇    下一篇



  1. (空军工程大学 导弹学院,陕西 三原 713800)
  • 出版日期:2011-09-15 发布日期:2011-10-24
  • 作者简介:龚水清(1987—),男,硕士研究生。研究方向:虚拟仿真,故障诊断。

Fault Diagnosis of Hydraulic Systems Based on Virtual Instrument and BP Neural Network

 GONG Shui-Qing, WANG Wai   

  1. (The Missile Institute,Air Force Engineering University,Sanyuan 713800,China)
  • Online:2011-09-15 Published:2011-10-24



关键词: 液压系统, 虚拟仪器, BP神经网络, 故障诊断


The difficulties of analysis and detection,the cost of time,the low veracity of estimation was found in diagnosis for hydraulic system.Then a design scheme of fault diagnosis for hydraulic system was put forward.Through the function of powerful abilities to collect,analyze and deal with the data,the long-distance survey of hydraulic system was realized.Through the analysis of historical data by using BP neural network,the forecast of future state was achieved.A favorable interface of software,simple operation,high veracity and beneficial practical value are the most obvious characters of this method.

Key words: hydralic sistem;virtual instrument;BP neural network;fault diagnosis


  • TP277.3