CAJ | 학술논문

在产品的可靠性研究中，准确、有效地识别产品所属的寿命分布，是可靠性建模成败的关键。针对传统支持向量机( SVM)在解决多分类问题时存在不可分区域等缺陷，提出了一种基于多分类模糊支持向量机( M-FSVM)的可靠性寿命分布模式识别方法，建立了包括指数分布、正态分布、对数正态分布和威布尔分布四种常用寿命分布模式识别的模糊支持向量机模型，并进行了仿真试验研究。仿真试验结果表明，该模型能够克服传统支持向量机中存在的不足，能够对常用的寿命分布模式进行智能识别，识别率高，便于工程应用。
재산품적가고성연구중，준학、유효지식별산품소속적수명분포，시가고성건모성패적관건。침대전통지지향량궤( SVM)재해결다분류문제시존재불가분구역등결함，제출료일충기우다분류모호지지향량궤( M-FSVM)적가고성수명분포모식식별방법，건립료포괄지수분포、정태분포、대수정태분포화위포이분포사충상용수명분포모식식별적모호지지향량궤모형，병진행료방진시험연구。방진시험결과표명，해모형능구극복전통지지향량궤중존재적불족，능구대상용적수명분포모식진행지능식별，식별솔고，편우공정응용。
In the field of product reliability study, identifying the reliability life distribution of a product accurately and efficiently is a key to the result of reliability modeling. The traditional Support Vector Machine ( SVM) has some defects, such as unclassifiable region in multiclass classification. Ai-ming at those defects, a method of identifying the reliability life distribution with Multi-class Fuzzy Sup-port Vector Machine( M-FSVM) is proposed, establishing four common models of reliability life distribu-tion including exponential distribution, normal distribution, lognormal distribution and Weibull distribu-tion, and is confirmed by simulation. The results show that, this method can overcome the shortcomings of traditional SVM, identify common life distribution intelligently with high recognition rate, and is con-venient for the engineering application.