基于双通道传感器的航空发动机在线故障诊断系统研究  

Investigation of Aeroengine On-Line Fault Diagnosis System Based on Dual-Channel Sensor Measurements

作　　者：马婷婷[1] 郭迎清[1] 陆军[1] 

机构地区：[1]西北工业大学动力与能源学院,陕西西安710072

出　　处：《计算机测量与控制》2011年第7期1533-1537,共5页Computer Measurement &Control

摘　　要：对基于双通道传感器的航空发动机在线故障诊断和隔离技术进行了研究;在发动机机载非线性模型的基础上,对发动机的双通道传感器分别设计混合卡尔曼滤波器,利用该滤波器在线估计双通道传感器输出,并结合实际双通道传感器测量值以及发动机机载非线性模型的输出值在线实现传感器故障检测和隔离、部件故障及异常检测确认;利用该技术建立了某型涡扇发动机在线故障诊断系统,通过仿真实例验证了该系统的诊断性能,实验结果表明,本文所建立的在线故障诊断系统能够较好的完成故障诊断与隔离、部件故障及异常检测等功能,为此类系统的工程应用提供了理论依据。A new aeroengine on-line fault diagnosis system based on dual-channel sensor measurements is investigated.Based on a nonlinear on-board engine model（NOBEM）,the hybrid Kalman filters（HKF） which estimate measured engine parameters are designed.Through engine parameters obtained from the dual-channel measurements,the NOBEM and the HKF,on-line sensor fault detection and isolation（FDI）,component fault and anomaly detection are realized.An on-line fault diagnosis system for an aeroengine with this approach is established.And then,some simulation tests are conducted to verify the performance of the system which can realize fault detection and isolation nicely,offering valuable reference for engineering applications of the aeroengine on-line fault diagnosis system.

关 键 词：航空发动机机载非线性模型 故障诊断和隔离 混合卡尔曼滤波器 

分 类 号：V233.7[航空宇航科学与技术—航空宇航推进理论与工程]