基于LabVIEW与BP神经网络测距终端故障诊断系统研究

Research on fault diagnosis system for ranging terminal based on LabVIEW and BP neural network

结合LabVIEW图形化编程特点和Matlab强大的矩阵运算能力,利用二者混合编程实现BP网络算法改进,设计了基于LabVIEW与BP神经网络的测距终端故障诊断系统,且通过对测距中参考信号发生器单元电路产生的硬故障进行识别诊断,以检验其可靠性。应用结果表明,该系统不仅能对多种未知故障进行准确分类识别,并可将结果通过简单直观的界面显示出来,从而降低故障诊断人员的工作难度,具有较强的实用价值。

By using the graphical programming features of LabVIEW and the powerful matrix computing power of Matlab, the BP algorithm is improved and the fault diagnosis system for ranging terminal based on Matlah and BP neural network is designed. And the reliability of the system is tested by the identification and diagnosis of hard faults occurring in the unit circuit of the reference signal generator. The results show that the system can not only classify and identify a variety of unknown faults, but also display the results on the simple and intuitive interface. And thus the system can reduce the difficulty of fault diagnosis and has a considerable practical value.