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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 ,是一种适合工程车辆故障诊断的新方法
Aimed at the characteristics of engineering vehicle fault, the limitations of previous engineering vehicle fault diagnosis method are analyzed. The new branch of artificial intelligence in the field of CBR (Case-Based Reasoning) CBR technology into the fault diagnosis of vehicles, discusses the CBR technology system architecture and key technologies, and gives the specific method of implementation. Theoretical analysis and practical experience show that the CBR-based system can solve the defects of the rules-based expert system in some aspects, has the characteristics of flexible implementation, simple and self-learning ability and is a new method suitable for fault diagnosis of construction vehicles