基于SVM的舰船装备维修外购外协件质量监控研究  

Quality control of purchased and outsourcing component based on SVM

作　　者：黄玉清[1] 魏军[2] 卢海翔[3] 

机构地区：[1]中国人民解放军92961部队 [2]海军工程大学管理工程系 [3]中国人民解放军91605部队

出　　处：《舰船科学技术》2010年第7期125-128,139,共5页Ship Science and Technology

摘　　要：舰船装备的维修质量很大程度上取决于外购外协件的质量,如何加强外购外协件的质量监控已成为当前装备维修领域的难题。为了对外购外协件的质量进行监控,提高装备维修质量,结合支持向量机理论,提出基于SVM的外购外协件质量监控方法。具体以轴承质量的分类检测为例,通过选取适当的特征向量,构造SVM三级分类器,经过对样本的训练,测试结果表明该方法效果良好。利用多级SVM来实现外购外协件的质量监控方法具有一定的实际应用价值。The maintenance quality of warship equipment depended on the quality of purchased and outsourcing component to some extend,how to enhance quality control of purchased and outsourcing component become a program.In order to control the quality of purchased and outsourcing component,improve the maintenance quality of equipment,combined with the theory of SVM,put forward quality control of purchased and outsourcing component based on SVM.In the case of axletree quality test,choose some proper feature vectors,construct a three-layer classifier of SVM,after train the samples,the test results prove that the proposed method is efficient.This method can produce large application value in practical warship equipment maintenance work.

关 键 词：外购外协件 质量监控 支持向量机 

分 类 号：V271.4[航空宇航科学与技术—飞行器设计]