摘要
针对工程车辆故障的特点 ,分析了以往工程车辆故障诊断方法的局限性。将人工智能领域中的新分支 CBR(Case-Based Reasoning)技术引入到工程车辆故障诊断中 ,论述了 CBR技术的系统结构和关键技术 ,并给出了具体的实现方法。理论分析和实践经验表明 ,基于 CBR的系统可以解决基于规则的专家系统在某些方面的缺陷 ,具有实现方式灵活、简便、自学习能力强等特点 。
According to the characteristics of the engineering vehicle faults, the limitation of the previously used technology in the engineering vehicle fault diagnosis field is analyzed. The CRB Technology, as a new comer of AI, is used in the engineering vehicle fault diagnosis system. The system structure and the critical technology are presented, and the practical realizing method is introduced. Theoretical analysis and practical experience show that the CBR system can reduce the defects in the rules based expert system. The fault diagnosis system based on the CBR Technology is the appropriate new method for engineering vehicle fault diagnosis.
出处
《解放军理工大学学报（自然科学版）》
EI
2002年第6期64-67,共4页
Journal of PLA University of Science and Technology(Natural Science Edition)
