摘要
提出了改进的BP神经网络和C型灰色关联度的故障诊断方法。在提取坦克发动机振动信号特征参数的基础上,结合C型灰色关联度诊断法简单易于实现和BP神经网络法诊断精度较高的特点,完成了坦克发动机的故障模式识别和诊断决策。
The improved diagnostic of BP neural network algorithm and C gray cognate are presented in this paper. On the basis of extracting the characteristic parameters form tank engine vibration signals,and by combination of C gray cognate analysis which is easy to fulfill and the BP neural network diagnostic method which is accurate, the fault pattern recognition and diagnosis are fulfilled for the tank engine.
出处
《工业控制计算机》
2006年第3期7-8,共2页
Industrial Control Computer