多传感器系统中基于扩展卡尔曼滤波器的在线故障检测
郭淑霞;姜颖;刘佳
【期刊名称】《传感器与微系统》 【年(卷),期】2015(000)006
【摘要】With wide application of multi-sensor systems,online fault seriously affect system performance,so how to make multi-sensor system with independent fault detection and diagnostic capabilities become primary problem. According to input signal,output signal and fault array of nonlinear multi-sensor system,establish a kind of multi-input multi-output processing and fault analysis model of extended Kalman filter( EKF )with enhance self-regulating functions,on this basis,propose a kind of multi-sensor system online fault detection algorithm and its implementation framework on sensor node. Experimental results show that the proposed algorithm at low and high concurrent fault environments has highly accurate fault reporting capabilities. Also in contrast to the results of the temperature sensor to implement the proposed algorithm,the value of temperature monitoring verify the proposed algorithm has better system performance assurance capabilities than traditional algorithms.%随着多传感器系统的广泛应用，在线故障对于系统性能影响严重，如何使得多传感器系统具有自主故障检测与诊断能力成为首要问题。根据非线性多传感器系统的输入信号、输出信号和故障阵列，建立一种具有多输入多输出处理和自调节加
多传感器系统中基于扩展卡尔曼滤波器的在线故障检测
