计算机集成制造系统 ›› 2015, Vol. 21 ›› Issue (第10期): 2558-2563.DOI: 10.13196/j.cims.2015.10.002

• 产品创新开发技术 • 上一篇    下一篇

支持知识不确定性的工程知识获取

王宏君1,蔺娜1,敬石开2+   

  1. 1.北京神舟航天软件技术有限公司
    2.北京理工大学机械与车辆学院
  • 出版日期:2015-10-31 发布日期:2015-10-31
  • 基金资助:
    电子信息产业发展基金资助项目。

Supporting knowledge uncertainty engineering-knowledge acquisition

  • Online:2015-10-31 Published:2015-10-31
  • Supported by:
    Project supported by the Electronic Information Industry Development Fund,China.

摘要: 为了有效地增强企业创新研制能力,针对工程知识的不确定性问题,借助贝叶斯概率论建立了工程概念贝叶斯网络模型。利用工程概念贝叶斯网络获取工程知识和知识关联关系,在保留知识不确定性的基础上,实现了工程知识有效获取。通过机床业务实例,验证了所提方法的有效性。

关键词: 工程知识, 不确定性, 有效性, 知识获取, 贝叶斯概率论, 机床

Abstract: The acquisition,management and application activities of engineering knowledge in the product development process are collectively called engineering knowledge management.In engineering knowledge management,the uncertainty of engineering knowledge is widespread which results in the uncertainty of the effectiveness for engineering knowledge.Aiming at the uncertainty of engineering knowledge,Bayesian network model of engineering concept was established with Bayesian probability theory.The association relationship between engineering knowledge and knowledge was acquired by using engineering concept Bayesian network,and the effective access to engineering knowledge was achieved based on knowledge uncertainty.Finally,effectiveness of the proposed method was verified by using in the machine tool engineering-knowledge acquisition.

Key words: engineering knowledge, uncertainty, effectiveness, knowledge acquisition, Bayesian probability theory, machine tool

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