基于实例推理的自行火炮故障诊断  

Self-Propelled Gun Fault Diagnosis Based on Case Reasoning

作　　者：田世英[1] 胡良明[1] 朱爱华[1] 

机构地区：[1]解放军炮兵学院南京分院,江苏南京211132

出　　处：《兵工自动化》2007年第4期14-15,23,共3页Ordnance Industry Automation

摘　　要：将CBR技术引入自行火炮武器系统故障诊断,可建立由实例表示、检索、修改及学习系统组成的,基于实例推理的自行火炮故障诊断专家系统。其实例说明部分含故障的诊断时间、诊断对象、报警位置及实例特征等信息。故障初始症兆为一症兆集。故障的诊断结论则为一结论集。故障的维修方案表示故障发生后的维修方案等。The basic principle of case-based reasoning for fault diagnosis is introduced into self-propelled gun system＇s fault diagnosis field. A case-based self-propelled gun fault diagnosis expert system is established. The system consists of case expression, searching; amending and learning system. Its example shows the information such as the fault diagnosis time part, diagnosis object, alarming position, and the example features. The fault initial situation is stored as the situation set. The fault diagnosis calculation is stored as the calculation set. The fault maintenance project expresses the fault maintenance project.

关 键 词：自行火炮 故障诊断 实例推理 专家系统 

分 类 号：TP206.3[自动化与计算机技术—检测技术与自动化装置]