Research on fault diagnosis of the fan blade of turbofan engine

Z. Han, J. Chen, Bangcheng Zhang, Yilong Wang, Zhi Gao
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引用次数: 1

Abstract

With the rapid development of space technology, the working safety and reliability of aero engine have attracted more and more attention. As the heart of the plane, aero engine has the high cost of development, and the quality of its performance affects directly the flight efficiency, reliability and economy of aircraft. It is difficult to diagnose the failure of aviation equipment by using few sample data. As such, the Belief-Rule-Base model is proposed, which is used to fault diagnosis of the fan blade of turbofan engine. The work of this paper mainly focuses on two aspects in the following: Firstly, the fault diagnosis model based on Belief-Rule-Base is modelled. Then, according to barycenter skewing of the fan blade and the change of the torque, the fault diagnosis method of fan blade based on Belief-Rule-Base is studied. This study proves that the model is effective for the fault diagnosis and the changing process of fan blade failure is got.
涡扇发动机扇叶故障诊断研究
随着航天技术的飞速发展,航空发动机的工作安全性和可靠性越来越受到人们的重视。航空发动机作为飞机的心脏,研制成本高,其性能好坏直接影响飞机的飞行效率、可靠性和经济性。利用少量的样本数据进行航空设备故障诊断是困难的。在此基础上,提出了基于信念-规则的涡扇发动机叶片故障诊断模型。本文的工作主要集中在以下两个方面:首先,建立了基于Belief-Rule-Base的故障诊断模型。然后,根据风机叶片重心偏斜和转矩变化,研究了基于信念规则库的风机叶片故障诊断方法。研究表明,该模型对故障诊断是有效的,得到了风机叶片故障的变化过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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