摘要
针对现代雷达故障特征参数较多,一般诊断方法难以解决的问题,文章在分析雷达检测诊断中诊断信息、诊断知识、推理过程不确定性的基础上,结合信息获取、信息融合、故障诊断及趋势预测几个方面建立了基于多元信息融合的雷达故障诊断决策模型,研究了信息融合中不同信息的归一化方法;该方法充分利用信息之间的冗余性和互补性,使故障诊断决策结果更加科学和准确;实例分析证明了所提模型及方法在提高故障检测率、减小Bayes风险、改善故障诊断性能方面具有明显的作用。
Aiming at many fault characteristic parameters of modern radar and the question that geneal diagnosis way is difficult to solve, The fault diagnosis stratgy model based on multi--source information fusion including information acquisition, information fusion, fault diag- nosis and trend prediction is built by analysing the uncertainty of diagnosis information, diagnosis technology and reasoning course. The nom- alization method for different information is studied in this paper. That method is fully used the redundancy and complementary between dif- ferent information. It can make the diagnosis and stratgy result more scientific and accurate. The example presents the effect in decresing false alarms and impoving diagnosis performance.
出处
《计算机测量与控制》
CSCD
北大核心
2011年第2期344-346,共3页
Computer Measurement &Control
关键词
信息融合
故障诊断
雷达
传感器检测融合
Information fusion
fault diagnosis
Radar
Sensor detection fusion
