摘要
探讨了基于 LabView 的船舶柴油机燃油系统的故障诊断系统,系统采用小波分析方法处理信号,采用神经网络进行故障诊断,并对结果进行分析比较,结果表明基于上述两种理论方法的故障诊断过程简单快速,结果明了准确,大大提高了故障诊断的能力和精度。
Design a fault diagnosis system of marine diesel engine fuel supply system based on LabView, using wavelet analysis and neural network, and compare the diagnosis result with the actual circumstances. It is indicated that this process of diagnosis is simple and rapid, and the result is exact, thus the capability and precision of fault diagnosis are improved greatly.
出处
《电气自动化》
北大核心
2007年第5期53-55,共3页
Electrical Automation
