基于知识网格的故障诊断专家系统模型

Fault diagnosis expert system model based on knowledge grid

利用知识网格能够提供更广范围的知识获取与数据挖掘、便于构造更有效且完备的知识库以及知识库之间的知识共享与协同能力等特点,提出了基于知识网格的故障诊断专家系统模型,构造基于本体的故障诊断知识库、基于资源空间模型的知识规范管理、及其网格环境下故障诊断推理机制。知识网格故障诊断专家系统易于知识的动态扩充、知识的广域存放以及异构知识源的有效融合。该研究不仅为故障智能诊断研究提供了一条崭新的途径,同时也促使了传统专家系统的新发展。

Utilizing some characteristics of knowledge grid, such as providing a wider range of knowledge acquisition and data mining, constructing a more effective and comprehensive knowledge base and convenient for knowledge-sharing and collaboration and so on, a fault diagnosis expert system based on knowledge grid was proposed. Ontology-based diagnosis knowledge base, RSM-based （Resource Space Model-based） knowledge management norms and diagnosis reasoning under environment of knowledge grid were constructed. The fault diagnosis expert system is better for knowledge dynamic expansion, wide-area storage and integration of hetero- geneous knowledge sources. This paper not only provides a new way for fault intelligent diagnosis but also helps to further develop traditional expert system.