一种基于诊断融合技术的传感器节点故障诊断

A Fault Diagnosis of Sensor Node Diagnosis Based on Data Fusion Technique

为提高测控系统传感器节点故障诊断正确率,提出一种ARIMA和LSSVM相融合的传感器节点故障诊断方法。仿真测试结果表明,ARIMA-LSSVM提高了传感器节点故障诊断的正确率,降低故障的漏报率和误报率。

In order to improve the accuracy of measurement and control system for sensor fault diagnosis,the fault diagnosis of sensor node method by the combination of a ARIMA and LSSVM.The simulation results show that,ARIMA LSSVM can improve the accuracy of fault diagnosis of sensor nodes,reduce the failure rate of false negatives and false alarm rate.