基于Lyapunov指数能谱熵的转子—机匣系统故障诊断研究

FAULT DIAGNOSIS RESEARCH OF ROTOR-CASE SYSTEM BASED ON LYAPUNOV EXPONENT ENERGY SPECTRUM ENTROPY

提出基于Lyapunov指数能谱熵的航空发动机转子—机匣系统状态识别和故障诊断新方法。基于Lyapunov指数谱,提出并定义系统Lyapunov指数能谱熵;在基于实测的航空发动机机匣振动时间序列求解系统不同故障状态的Lya-punov指数谱的基础上,获得系统不同故障状态下的Lyapunov指数能谱熵,并将其应用于航空发动机转子—机匣系统的故障诊断。研究结果表明,航空发动机机匣振动时间序列在不同单一故障状态下具有不同的Lyapunov指数能谱熵,此时可以Lyapunov指数能谱熵作为识别其状态的新特征量。

A new method for fault diagnosis of aero engine rotor-case system is proposed based on the Lyapunov exponent energy spectrum entropy. The energy spectrum entropy is defined for Lyapunov exponent spectrum first, which is an overall description about the distribution of energy spectrum. Then, based on various measured time series from classified experimental data for different kings of fault mode of an aero engine the Lyapunov exponent spectra and their energy spectrum entropy are calculated. The results reveal that the Lyapunov exponent energy spectrum entropy is different, depending on different fault modes of the aero engine rotor-case system, which is helpful for fault diagnosis. Hence, the proposed method might serve as a new means for aero engine＇s fault diagnosis, in case the Lyapunov exponent energy spectrum entropy is different and separable for different types of mono-mode fault.