基于混沌振子阵列的航空发动机早期故障检测方法  

Early Fault Detection Method of Aero- engine Based on Chaotic Oscillator Array

作　　者：牛伟[1] 郭阳明[2] 王森 成娟[3] NIU Wei;GUO Ming-yang;WANG Sen;CHENG Juan(Xi′an Aeronautics Computing Technique Research Institute,AVIC,Xi′an 710000,China;Northwestern Polytechnical Uniersity,Xi′an 710000,China;Xi′an Institute of Applied Optics,Xi′an 710000,China)

机构地区：[1]航空工业西安航空计算技术研究所,陕西西安710000 [2]西北工业大学,陕西西安710000 [3]西安应用光学研究所,陕西西安710000

出　　处：《航空计算技术》2022年第2期9-12,共4页Aeronautical Computing Technique

基　　金：航空科学基金项目资助(2017ZC31008;2018ZC31003)。

摘　　要：航空发动机作为飞机的动力来源,其性能直接影响飞机飞行的安全性和可靠性。针对航空发动机在故障出现早期具有背景噪声剧烈、故障信号微弱、多故障特征频率叠加等问题,提出一种互相关去噪与混沌振子阵列扫描融合的早期故障检测方法。利用互相关对信号进行去噪,将去噪信号输入混沌振子检测阵列,使其构成混沌检测系统周期策动力,通过相轨迹变化检测出表征同一早期故障的多个特征频率信号,从而达到提高故障检测准确率和有效性的目的。并利用转子试车台,验证了方法的有效性。As the power source of the aircraft, the performance of the aero engine directly affects the safety and reliability of the aircraft.Aiming at the problems of severe background noise, weak fault signal, and superposition of multiple fault characteristic frequencies in the early stage of aero-engine failure, an early fault detection method combining cross-correlation denoising and chaotic oscillator array scanning is proposed.Multiple characteristic frequency signals that characterize the same early fault are detected through phase trajectory changes, so as to achieve the purpose of improving the accuracy and effectiveness of fault detection.Finally, the rotor test bed is used to verify the effectiveness of the proposed method.

关 键 词：航空发动机 早期故障 混沌振子 信号去噪 

分 类 号：O242[理学—计算数学]