基于神经网络的直升机航电系统故障预测算法研究

Research of Fault Prediction Algorithm for Helicopter Avionics System Based on Neural Network

文中研究了基于神经网络的直升机航电系统故障预测算法,并进行了实验设计和结果分析。首先,介绍了直升机航电系统、故障预测技术分类及现有研究的现状。然后,详细介绍了神经网络基础知识和基于神经网络的直升机航电系统故障预测算法原理,并给出了实现方法。接着,进行了实验设计和结果分析,验证了该算法的有效性和可行性。最后,通过案例分析,展示了该算法在直升机航电系统故障预测中的应用效果,旨在提高直升机航电系统的可靠性和安全性。

The article studied a fault prediction algorithm for helicopter avionics systems based on neural networks,and conducted experimental design and result analysis.Firstly,the helicopter avionics system,fault prediction technology classification,and current research status were introduced.Then,the basic knowledge of neural net works and the princi-ple of fault prediction algorithms for helicopter avionics systems based on neural networks were introduced in detail,and implementation methods were provided.Subsequently,experimental design and result analysis were conducted to verify the effectiveness and feasibility of the algorithm.Finally,through case analysis,the application effect of this algorithm in fault prediction of helicopter avionics systems was demonstrated,aiming to improve the reliability and safety of helicopter avionics systems.