基于SVM的多传感器信息融合技术在农用柴油机故障诊断中的应用研究  

SVM-based multi-sensor information fusion technology in the agricultural diesel engine fault diagnosis

作　　者：贾佳 吕建新 辜良愉 

机构地区：[1]武警工程大学装备运输系,西安市710086

出　　处：《中国农机化学报》2013年第2期221-224,共4页Journal of Chinese Agricultural Mechanization

摘　　要：通过运用基于子模块决策输出融合的多传感器信息融合模型,专门针对农用柴油机运行机理和易发故障的特点,探讨了基于SVM的多传感器信息融合技术在农用柴油机故障诊断中的具体运用。通过对故障农用车实车数据比较试验表明,此方法在识别农用柴油机的故障类型上相比于传统诊断方法更加有效。Using integration based on the sub-module decision-making output multi-sensor information fusion model,specifically for agricultural diesel engine’ s characteristics of running mechanism and prone to failure,discusses the use of SVM-based multi-sensor information fusion technology in the agricultural diesel engine fault diagnosis.Experiments using real data of the fault agricultural vehicles show that,compared to traditional diagnostic methods,this method is more effective to identify the type of failure of the agricultural diesel.

关 键 词：农用柴油机 支持向量机 多传感信息器融合 故障诊断 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置]