基于静电信号排列熵的航空发动机异常探测
|
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-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.
A gas path electrostatic monitoring experiment for aero-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.
引文
[1]Powrie H E G,Mcnicholas K.Gas path condition moni-toring during accelerated mission testing of a demonstrator engine[C]//The 33rd AIAA/ASME/SAE/ASEE Joint Propulsion Conference and Exhibit.Seattle,WA:AIAA,1997:2904.
[2]Powrie H E G,Fisher C E.Monitoring of foreign objects ingested into the intake of a gas turbine aero-Engine[C]//International Conference on Condition Monitoring Proceedings,1999:175-190.
[3]Navarra K,Lawton R,Hearrell N.An enterprise strategy for implementing conditioned-based maintenance plus(CBM+)research in the USAF[C]//IEEE Aerospace Conference Proceedings,1997:177-181.
[4]Sangha M S,Yu D L,Gomm J B.On-board monitoring and diagnosis for spark ignition engine air path via adaptive neural networks[J].Proceedings of the Institution of Mechanical Engineers,Part D:Journal of Automobile Engineering,2006,220(11):1641-1655.
[5]Powrie H E G,Fisher C E.Engine health monitoring:Towards total prognostics[C]//IEEE Aerospace Conference Proceedings,1999:1112-1123.
[6]Powrie H E G,Fisher C E.Monitoring of foreign objects into the intake of a gas turbine aero-engine[C]//IEEE Aerospace Conference Proceedings,1999:907-920.
[7]Yan Yong,et al.Sensing field homogeneity in mass flow rate measurement of pneumatically conveyed solids[J].Flow Meas Instrum,1995,6(2):115-119.
[8]Yan Yong.Mass flow measurement of pneumatically conveyedsolids[D].University of Teesside,UK.
[9]Matti M.Electrostatic measurements on a miniaturized fluidized bed[J].Journal of Electrostatics,2003,57(1):91-106.
[10]Gajewski J B.Mathematical model of non-contact measurements of charges while moving[J].Journal of Electrostatics,1984,15(1):81-92.
[11]文振华.基于静电感应的航空发动机气路监测技术研究[D].南京:南京航空航天大学,2009.
[12]文振华,左洪福,李耀华,等.一种新的航空发动机气路监测方法[J].南京航空航天大学学报,2009,41(2):248-252.
[13]文振华,左洪福,王华,等.航空发动机气路静电监测传感器特性[J].传感器与微系统,2008,27(11):28-31.
[14]李耀华,左洪福,文振华,等.航空发动机气路颗粒静电监测技术模拟试验[J].航空学报,2009,30(4):604-608.
[15]冯辅周,饶国强,司爱威,等.排列熵算法研究及其在振动信号突变检测中的应用[J].振动工程学报,2012,25(2):221-224.
[16]孙克辉,谈国强,盛利元.基于排列熵算法的混沌伪随机序列复杂性分析[J].计算机工程与应用,2008,44(3):47-49.
[17]郑近德,程军圣,杨宇.多尺度排列熵及其在滚动轴承故障诊断中的应用[J].中国机械工程,2013,24(19):2641-2646.
[2]Powrie H E G,Fisher C E.Monitoring of foreign objects ingested into the intake of a gas turbine aero-Engine[C]//International Conference on Condition Monitoring Proceedings,1999:175-190.
[3]Navarra K,Lawton R,Hearrell N.An enterprise strategy for implementing conditioned-based maintenance plus(CBM+)research in the USAF[C]//IEEE Aerospace Conference Proceedings,1997:177-181.
[4]Sangha M S,Yu D L,Gomm J B.On-board monitoring and diagnosis for spark ignition engine air path via adaptive neural networks[J].Proceedings of the Institution of Mechanical Engineers,Part D:Journal of Automobile Engineering,2006,220(11):1641-1655.
[5]Powrie H E G,Fisher C E.Engine health monitoring:Towards total prognostics[C]//IEEE Aerospace Conference Proceedings,1999:1112-1123.
[6]Powrie H E G,Fisher C E.Monitoring of foreign objects into the intake of a gas turbine aero-engine[C]//IEEE Aerospace Conference Proceedings,1999:907-920.
[7]Yan Yong,et al.Sensing field homogeneity in mass flow rate measurement of pneumatically conveyed solids[J].Flow Meas Instrum,1995,6(2):115-119.
[8]Yan Yong.Mass flow measurement of pneumatically conveyedsolids[D].University of Teesside,UK.
[9]Matti M.Electrostatic measurements on a miniaturized fluidized bed[J].Journal of Electrostatics,2003,57(1):91-106.
[10]Gajewski J B.Mathematical model of non-contact measurements of charges while moving[J].Journal of Electrostatics,1984,15(1):81-92.
[11]文振华.基于静电感应的航空发动机气路监测技术研究[D].南京:南京航空航天大学,2009.
[12]文振华,左洪福,李耀华,等.一种新的航空发动机气路监测方法[J].南京航空航天大学学报,2009,41(2):248-252.
[13]文振华,左洪福,王华,等.航空发动机气路静电监测传感器特性[J].传感器与微系统,2008,27(11):28-31.
[14]李耀华,左洪福,文振华,等.航空发动机气路颗粒静电监测技术模拟试验[J].航空学报,2009,30(4):604-608.
[15]冯辅周,饶国强,司爱威,等.排列熵算法研究及其在振动信号突变检测中的应用[J].振动工程学报,2012,25(2):221-224.
[16]孙克辉,谈国强,盛利元.基于排列熵算法的混沌伪随机序列复杂性分析[J].计算机工程与应用,2008,44(3):47-49.
[17]郑近德,程军圣,杨宇.多尺度排列熵及其在滚动轴承故障诊断中的应用[J].中国机械工程,2013,24(19):2641-2646.