推进技术 ›› 1998, Vol. 19 ›› Issue (1): 12-16.

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采用内积原理建立航空发动机神经网络辨识模型

谢寿生,樊思齐   

  1. 西北工业大学航空动力与热力工程系;西北工业大学航空动力与热力工程系
  • 发布日期:2021-08-15

THE SET UP OF NEURAL NETWORK IDENTIFICATION MODEL FOR AEROENGINE USING INNER PRODUCT PRINCIPLE

  1. Dept of Aeroengine Engineering,Northwestern Polytechnical Univ.,Xi′an,710072;Xie Shousheng Fan Siqi(Dept of Aeroengine Engineering,Northwestern Polytechnical Univ.,Xi′an,710072
  • Published:2021-08-15

摘要: 根据样本空间的内积特性,提出一种无需迭代学习内积神经网络。以某型航空发动机的机载记录数据为例,对发动机进行了建模,结果表明该方法具有自学习速度快、抗干扰能力强、准确性高的特点。

关键词: 航空发动机;模型研究;数学模型;网络

Abstract: According to the inner product feature of sample space,a new neural network which does not require to learn iteratively,is set up for a aeroengine in terms of data recorded on a plane.The results show that the new method has the advantage of faster self taught ability,higher accuracy,stronger anti interference ability and less maintenance work.

Key words: Aircraft engine;Model study;Mathematical model;Network