改进的BP神经网络和灰色理论在坦克发动机故障诊断中的应用

Application of the Improved Neural Network and the Grey Theory in Fault Diagnosis for Tank Engine

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.