首页> 外文期刊>Journal of nuclear science and technology >Statistical Method Application to Knowledge Base Building for Reactor Accident Diagnostic System
【24h】

Statistical Method Application to Knowledge Base Building for Reactor Accident Diagnostic System

机译:统计方法在反应堆事故诊断系统知识库构建中的应用

获取原文
           

摘要

In the development of a knowledge based expert system, one of key issues is how to build the knowledge base (KB) in an efficient way with keeping the objectivity of KB. In order to solve this issue, an approach has been proposed to build a prototype KB systematically by a statistical method, factor analysis.For the verification of this approach, factor analysis was applied to build a prototype KB for the JAERI expert system DISKET. To this end, alarm and process information was generated by a PWR simulator and the factor analysis was applied to this information to define taxonomy of accident hypotheses and to extract rules for each hypothesis. The prototype KB thus built was tested through inferring against several types of transients including double-failures. In each diagnosis, the transient type was well identified. Furthermore, newly introduced standards for rule extraction showed good effects on the enhancement of the performance of prototype KB.
机译:在基于知识的专家系统的开发中,关键问题之一是如何在保持知识库的客观性的同时,以有效的方式构建知识库(KB)。为了解决这个问题,提出了一种通过统计方法,因子分析系统地构建原型知识库的方法。为了验证该方法,应用因子分析为JAERI专家系统DISKET构建了原型知识库。为此,通过PWR仿真器生成警报和过程信息,并将因子分析应用于此信息,以定义事故假设的分类法并提取每个假设的规则。通过推断出包括双重故障在内的几种瞬态类型,对由此构建的原型KB进行了测试。在每次诊断中,都可以很好地识别出短暂型。此外,新引入的规则提取标准在增强原型KB性能方面显示出良好的效果。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号