BP神经网络在某型飞机发动机故障预测中的应用

Application of BP Neural Network in the Fault Prediction for a Certain Aero Motor

飞机发动机是飞机的"心脏",为了确保飞机的飞行安全,就必须能够对飞机发动机的故障进行有效的预测,并及时予以排除。本文介绍了神经网络故障预测原理,给出了神经网络模型在故障预测过程中的学习算法,并将该算法应用于某型飞机发动机的故障预测中。实验结果表明:用BP神经网络进行故障预测,不仅准确度高、效率高,而且可变被动维修为视情维修,具有良好的应用前景。

In order to make the aero motor run safely and reliably, fault prediction of the aero motor is needed. The fault prediction theory is introduced; an algorithm of modeling is proposed for the neural network in the prediction courses, and it is used in the prediction for aero motor. The test results illustrate that the fault prediction based on BP neural network has high accuracy and good prospects.