摘要
针对传统专家系统推理机所存在的匹配冲突问题,提出了一种将专家案例推理用于板级电路故障诊断的方法;该方法重点研究了专家案例推理的索引策略和匹配原则,并给出了案例的表示和组织存储方法及案例库的维护措施;根据研究表明,将分层多级索引机制和k-近邻匹配原则相结合,利用专家案例推理对板级电路进行故障诊断,能够解决匹配冲突等瓶颈问题.通过以航空机载电子设备中电源电路出现故障为例,得出专家案例推理具有诊断速度快、精确度高等优点.
For matching conflict traditional expert system inference engine that exist,a new expert case-based reasoning to board- level circuit for fault diagnosis; the method focuses on expert case- based reasoning and matching principle of indexing strategies,and gives case representation and organization of storage methods and case base maintenance measures; according to the study indicate that multi- level hierarchical indexing mechanism and k- nearest neighbor matching principle combined with the use of expert case- based reasoning for board- level circuit fault diagnosis,match conflict can be solved bottlenecks. By Airborne electronic equipment power supply circuit fails,for example,obtain expert diagnostic reasoning Case speed,accuracy and other advantages.
出处
《佳木斯大学学报(自然科学版)》
CAS
2016年第2期242-244,共3页
Journal of Jiamusi University:Natural Science Edition
基金
安徽省教育厅自然科学研究项目(KJ2013Z105)
安徽新华学院2015年校级自然科研项目(2015zr010)
安徽新华学院校级教改项目(2013jgkcx06)
关键词
专家案例推理
索引策略
k-近邻匹配原则
板级电路故障诊断
Expert Case-based reasoning
indexing strategy
k-nearest neighbor matching principle
board-level circuit fault diagnosis