基于几何模式识别的发动机传感器故障诊断

Engine Sensor Fault Diagnosis Based on Geometric Pattern Recognition

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。

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.