基于飞参数据的总温传感器故障诊断方法研究

为有效测量飞机的飞行速度,对用于飞行真空速解算的热力测量法和压力测量法进行研究.结合飞参系统记录的气压高度、指示空速、马赫数和总温参数与真空速之间的关系,通过最小二乘支持向量回归(least squares support vector regression,LS-SVR)方法来拟合真空速并进行残差对比,根据最小二乘支持向量回归方法的特点,可解算出不同时刻的真空速.结果表明:LS-SVR拟合精度高,泛化能力强,可有效地对总温传感器性能漂移和故障进行性能监测与诊断,具有应用推广价值.

Study on Fault Diagnosis Method of Total Temperature Sensor Based onFlight Data Recorder

In order to effectively measure the flight speed of the aircraft, the thermal measurement and pressuremeasurement used to calculate the true airspeed measurement are studied. Combined with the relationship among pressurealtitude, calibrated airspeed, mach, total temperature parameter, true airspeed of flight data recorder, fit true airspeed andcarry out residual comparison through least squares support vector regression (LS-SVR). According to the feature ofLS-SVR, calculate different true airspeed at deferment time. The results show that the LS-SVR method has high precisionand strong generalization ability, which can effectively monitor and diagnose the performance of total temperature sensorperformance drift and fault, and has application value.