CAJ | 학술논문

针对经典粗糙集方法在雷达装备故障诊断规则提取中,由于离散化带来的误差,提出将原始数据模糊化,然后使用蚁群算法进行属性约简,从而达到避免离散化和提高诊断规则准确度的目的;通过实验证明该方法能够克服经典粗糙集的不足,在雷达装备故障诊断中取得了良好的效果,为新型雷达装备的故障诊断开劈了一条新的途径.
침대경전조조집방법재뢰체장비고장진단규칙제취중,유우리산화대래적오차,제출장원시수거모호화,연후사용의군산법진행속성약간,종이체도피면리산화화제고진단규칙준학도적목적;통과실험증명해방법능구극복경전조조집적불족,재뢰체장비고장진단중취득료량호적효과,위신형뢰체장비적고장진단개벽료일조신적도경.
Classical rough set method draws rules to bring errors in radar equipment fault diagnosis, caused by discretization. The original data are vague to be put forward, and then use ant colony algorithm to reduction, so avoid the discretization. It raises diagnosis regular accuracy. Practice proves this method can overcome classical rough set shortcoming. It has gotten good effect in radar equipment huh diagnosis, and pioneer a new channel in the huh diagnosis of new model radar equipment.