基于模糊神经网络的故障预测方法研究

Research on Fault Prediction Based on Fuzzy Neural Networks

在对模糊神经网络技术进行研究的基础上,介绍了故障预测原理,建立了预测分析的模糊神经网络模型,提出了改进的预测算法,并举例对算法进行了仿真验证。预测结果表明该方法能够取得比传统的BP更好的效果,是可行而有效的。为仪器设备的尽快维修提供了可靠的依据,具有良好的应用前景。

The fault prediction theory is introduced based on fuzzy neural network. The fault prediction analysis model is built, and an advanced training algorithm is proposed. Such algorithm is tested by using in the fault prediction of airplane motor. The test results illustrate such method is better than traditional BP, and it has good prospect.