面向故障诊断专家系统的对象框架知识表示方法

Bailin Liu, Mingye Duan, Ganghong Zhao
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引用次数: 7

摘要

知识质量和可用性是故障诊断系统的核心。框架知识技术在许多信息系统和专家系统中被用来表示知识。为了简化故障诊断专家系统中知识表示的复杂性,提出了一种基于层次模型的对象框架知识表示方法。在这种方法中,特定领域的知识通过对象框架的组合来表示。对象框架由相关的状态对象、测试对象和规则对象或修复对象组成。生成规则用于连接相关对象的状态。介绍了对象框架的一般特征和推理算法。基于对象框架的知识项存储在SQL数据库中,推理引擎采用前向链策略对知识进行推理操作,进行推理,根据测试数据查找故障原因并给出修复建议。推理解释完成了解释的任务,提高了推理的清晰度。该方法的优点是不需要知识表示语言的支持。实验结果表明,该方法是有效的,提高了气象车辆系统的故障诊断和维修水平。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An Object Frame Knowledge Representation Approach for Fault Diagnosis Expert System
Knowledge quality and usability is core to a fault diagnosis system. Frame knowledge technique has been used to represent knowledge in many information and expert systems. To simplify the complexity of knowledge representation in fault diagnosis expert system, a novel object-frame knowledge representation approach based on hierarchical model was proposed. In this approach, domain specific knowledge is expressed by combinations of object-frames. An Object-frame is composed by relevant state-object, test-object and rule-object or repair-object. Production rules are used to connect relevant objects' states. General features of object-frame and inference algorithm are introduced. Object-frame based knowledge items are stored in SQL database, inference engine performs the inference operation of knowledge using forward chaining strategy, implements reasoning, finds the cause of faults and gives repair suggestion driven by test data. Inference interpretation completes the task of explanation, which improved the clarity of reasoning. The advantage of this method is that we do not need knowledge representation language support. Experimental results show that the method proposed is effective, which improved the fault diagnosis and maintenance for a meteorological vehicle system.
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