摘要
讨论了如何利用ACARS报文数据获取飞机发动机性能参数的运行数据,利用神经网络自学习能力特点,建立一种智能、客观、准确地预测航空发动机性能趋势的新方法。经人工智能算法分析,通过发动机的历史飞行数据,预测未来某时刻航空发动机性能参数的变化趋势,建立一套基于神经网络的飞机发动机性能趋势预测系统。
It discusses how to use ACARS packet data to acquire aircraft engine performance parameters. Based on the self - learning features ability of neural network, it builds a smart, objective and accurate model to forecast the aero - engine performance trends. It presents an artificial intelligence algorithm which uses the history of flight data to predict the future trend of the aero- engine performance parameters.
