基于静电信号排列熵的航空发动机异常探测  

Study on Detection for Aero-engine Abnormal Condition Based on Permutation Entropy of Electrostatic Signal

作　　者：付宇[1] 殷逸冰[2] 王涵 左洪福[2] FU Yu;YIN Yi-bing;WANG Han;ZUO Hong-fu(Institute of Aviation Engineering,Civil Aviation University of China,Tianjin 300300,China;College of Civil Aviation,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China)

机构地区：[1]中国民航大学航空工程学院,天津300300 [2]南京航空航天大学民航学院,南京211106

出　　处：《自动化与仪表》2017年第11期1-5,19,共6页Automation & Instrumentation

基　　金：中央高校基本科研业务费项目(3122016A004);中国民航大学科研启动基金项目(2015QD02S)

摘　　要：该文利用航空发动机气路静电监测技术开展涡扇发动机试车静电监测试验,介绍了发动机试车台架所用的静电传感器和试车安装环境,采集到一些发动机异常状态下的静电信号数据。提出了一种基于静电信号排列熵值的气路状态异常检测方法对发动机气路异常状态进行检测,并与静电信号经典特征参数的分析结果进行对比。试验分析结果表明,排列熵指标对气路故障所导致的气路状态的突变比原始信号和经典特征参数更加敏感,同时,相较于传统特征参数排列熵指标能够更清晰地反映出燃烧故障进程中的故障变化情况。A gas path electrostatic monitoring experiment for aero?鄄engine technology is conducted on the turbofan engine by using the electrostatic monitoring technology,exhaust electrostatic sensor and installation environment of engine test bench are introduced,some electrostatic signal data are acquired under the abnormal condition.An anomaly detection method for gas path is put forward based on permutation entropy of electrostatic signal,which compared with the method by using classical electrostatic signal characteristic parameters,the experiment analysis results show that the permutation entropy indicator for gas path abnormal condition detection is more sensitive than classic characteristic parameters of electrostatic signal,meanwhile,permutation entropy has a better effect on reflecting the changing situation of the process in abnormal combustion fault.

关 键 词：航空发动机 静电监测 排列熵 传感器 特征参数 

分 类 号：TH89[机械工程—仪器科学与技术]