摘要
温室测控系统传感器节点故障产生错误数据,导致错误决策,为此,提出一种ARIMA和LSSVM相融合的温室测控系统传感器节点故障诊断方法。该方法首先分别采用ARIMA和LSSVM对传感器节点故障进行诊断,然后将两者的诊断结果重新输入LSSVM进行融合,得到最终传感器节点故障诊断结果。仿真测试结果表明,ARIMA-LSSVM融合方法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。
Greenhouse control system sensor nodes failure can produce error data and lead to wrong decisions. A sensor fault diagnosis method based on ARIMA and LSSVM integration control system is pat fowond. Firstly, ARIMA and LSSVM are used to diagnosis sensor fault, and the two diagnostic results are input to LSSVM to fusion and get the final results of fault diagnosis. The simulation test results show that the proposed method improves the Sensor node fault diagnosis accuracy, and reduce the false negative rate and false positive rate.
出处
《科学技术与工程》
北大核心
2013年第8期2254-2258,共5页
Science Technology and Engineering
关键词
测控系统
无线传感器网络
故障诊断
温室
measuring and controlling system wireless sensor network fault diagnosis greenhouse
作者简介
王华东（1977-），男，河南沈丘人，硕士，讲师，研究方向：计算机应用。
