采用序列概率比方法检测航空发动机传感器软故障

提出基于卡尔曼滤波和序列概率比方法进行某型涡扇发动机控制系统传感器软故障检测新方法.研究了采用修正的序列概率比方法处理滤波残差,检测传感器软故障;并将该方法与残差加权二乘算法WSSR(Weighted Sum of Squared Residual)检测传感器软故障过程进行了对比.仿真结果表明,序列概率比方法较WSSR法所需决策时间短,适合于航空发动机传感器软故障检测.      

基于参数优化的截尾序贯检验法

截尾序贯概率比检验法和序贯网图检验法（SMT）是在序贯概率比检验法（SPRT）的基础上发展起来的2种方法,可进一步控制试验次数。但是这些截尾序贯方法的停止边界仍有待优化,本文以最常见的截尾SPRT为例,说明决定停止边界的参数的取值直接影响了最大试验样本量,且存在最佳取值。并以此为基础,对SMT和传统的SPRT进行了综合比较,发现截尾SMT并不优于传统的截尾SPRT,它不过是一种广义形式的截尾序贯检验法,SPRT的研究重点应该是截尾形式的构造。最后本文提供了一种曲线形式的截尾序贯检验法.     

Application of Analytic Redundancy-based Fault Diagnosis of Sensors to Onboard Maintenance System

Analytic redundancy-based fault diagnosis technique (ARFDT) is applied to onboard maintenance system (OMS). The principle of the proposed ARFDT scheme is to design a redundancy configuration using ARFDT to enhance the functions of redundancy management and built in test equipment (BITE) monitor. Redundancy configuration for dual-redundancy and analytic redundancy is proposed, in which, the fault diagnosis includes detection and isolation. In order to keep the balance between rapid diagnosis and binary hypothesis, a filter together with an elapsed time limit is designed for sequential probability ratio test (SPRT) in the process of isolation. Diagnosis results would be submitted to central maintenance computer (CMC) together with BITE information. Moreover, by adopting reconstruction, the designed method not only provides analytic redundancy to help redundancy management, but also compensates the output when both of the sensors of the same type are faulty. Our scheme is applied to an aircraft’s sensors in a simulation experiment, and the results show that the proposed filter SPRT (FSPRT) saves at least 50% of isolation time than Wald SPRT (WSPRT). Also, effectiveness, practicability and rapidity of the proposed scheme can be successfully achieved in OMS.