基于飞参数据的总温传感器故障诊断方法研究  

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

作　　者：邸亚洲 王元鑫 王小飞 袁涛 Di Yazhou;Wang Yuanxin;Wang Xiaofei;Yuan Tao(Qingdao Branch,Navy Aviation University,Qingdao 266041,China)

机构地区：[1]海军航空大学青岛校区,山东青岛266041

出　　处：《兵工自动化》2021年第2期61-64,共4页Ordnance Industry Automation

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

关 键 词：总温传感器 最小二乘支持向量回归 飞参系统 真空速 

分 类 号：V241.7[航空宇航科学与技术—飞行器设计]