首页> 外文期刊>Journal of computer sciences >THE DEVELOPMENT OF AN EXPERT CAR FAILURE DIAGNOSIS SYSTEM WITH BAYESIAN APPROACH
【24h】

THE DEVELOPMENT OF AN EXPERT CAR FAILURE DIAGNOSIS SYSTEM WITH BAYESIAN APPROACH

机译:贝叶斯方法的专家汽车故障诊断系统的研制。

获取原文
获取原文并翻译 | 示例
       

摘要

In this study we propose a model of an Expert System to diagnose a car failure and malfunction using Bayesian Approach. An expert car failure diagnosis system is a computer system that uses specific knowledge which is owned by an expert to resolve car problems. Our specific system consists of knowledge base and solution to diagnose failure of car from Toyota Avanza, one of the favorite car used in Indonesia today and applying Bayesian approach for knowing the belief of the solution. We build Knowledge representation techniques of symptoms and solution froman experts using production rules. The experimental results presented and we obtained that the system has been able to perform diagnosis on car failure, giving solution and also gives the probability value of that solution.
机译:在这项研究中,我们提出了一种专家系统模型,可以使用贝叶斯方法诊断汽车故障和故障。专家汽车故障诊断系统是一种计算机系统,它使用专家拥有的特定知识来解决汽车问题。我们的特定系统包括知识库和解决方案,用于诊断Toyota Avanza的汽车故障,Toyota Avanza是当今印度尼西亚最受欢迎的汽车之一,并采用贝叶斯方法来了解解决方案的信念。我们使用生产规则,由专家构建症状和解决方案的知识表示技术。提出的实验结果表明,该系统能够对汽车故障进行诊断,给出解决方案,并给出该解决方案的概率值。

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