航空学报 > 2006, Vol. 27 Issue (6): 1018-1022

基于几何模式识别的发动机传感器故障诊断

黄向华, 丁毅   

  1. 南京航空航天大学 能源与动力学院, 江苏 南京 210016
  • 收稿日期:2005-06-06 修回日期:2005-11-03 出版日期:2006-12-25 发布日期:2006-12-25

Engine Sensor Fault Diagnosis Based on Geometric Pattern Recognition

HUANG Xiang-hua, DING Yi   

  1. College of Energy and Power engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
  • Received:2005-06-06 Revised:2005-11-03 Online:2006-12-25 Published:2006-12-25

摘要: 提出一种基于几何模式识别技术的发动机传感器故障诊断方法,以解决传感器缓慢漂移故障和由于安装制造差异和性能蜕化等造成的模型不匹配难以区分的问题。传感器测量值输入到自适应模型中,产生一组部件性能修正因子,作为故障模式来对传感器故障进行诊断,每种故障或性能蜕化都对应惟一的模式,采用几何模式识别技术隔离出传感器故障。以某型涡扇发动机为对象进行的仿真结果表明,该方法能诊断出传感器小漂移故障,并能对部件状态进行监控。

关键词: 航空, 航天推进系统, 航空发动机, 几何模式识别, 故障诊断, 传感器, 自适应模型

Abstract: A method of engine sensor fault diagnosis based on geometric pattern recognition technology is proposed to distinguish the sensor slow drifting fault from model mismatch because of install tolerance and performance degeneration. The sensor output is fed to adaptive the performance model, and then a set of component performance modification factors are produced which are regarded as fault patterns. Different faults or performance degeneration produce different patterns which can be distinguished using geometric pattern recognition. Simulation on a turbofan engine shows that the method can diagnose the sensor slow drifting fault, and can monitor the engine health condition.

Key words: aerospace propulsion system, aeroengine, geometric pattern recognition, fault diagnosis, sensor, adaptive model

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