Research on fault diagnosis of the fan blade of turbofan engine

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.