[1]崔铁军,李莎莎.系统故障因果关系分析的智能驱动方式研究[J].智能系统学报,2021,16(1):92-97.[doi:10.11992/tis.202003001]
CUI Tiejun,LI Shasha.Intelligent analysis of system fault data and fault causal relationship[J].CAAI Transactions on Intelligent Systems,2021,16(1):92-97.[doi:10.11992/tis.202003001]
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CUI Tiejun,LI Shasha.Intelligent analysis of system fault data and fault causal relationship[J].CAAI Transactions on Intelligent Systems,2021,16(1):92-97.[doi:10.11992/tis.202003001]
系统故障因果关系分析的智能驱动方式研究
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
16
期数:
2021年第1期
页码:
92-97
栏目:
学术论文—智能系统
出版日期:
2021-01-05
- Title:
- Intelligent analysis of system fault data and fault causal relationship
- Keywords:
- safety system engineering; fault data; causal relationship; intelligent science; intelligent analysis; space fault tree; factor space; driving mode
- 分类号:
- X913;C931.1;TP18
- 摘要:
- 为适应未来智能环境和安全领域的故障数据分析需求，本文提出系统故障因果关系分析思想。论述了通过数理统计方法分析系统故障数据存在的问题，研究了系统故障的相关性和关联性，前者基于故障数据反应故障表象；后者基于故障概念反应故障本质。将智能情况下的故障因果分析划分为4个层次，包括数据驱动、因素驱动、数据?因素驱动、数据?因素?假设驱动。该方法的特点是获得广泛的故障因果关系，深入了解因果关系，两者兼顾和更接近于人的思维。4种驱动对故障因果分析的能力依次上升，可为安全科学与智能科学结合提供渠道。
- Abstract:
- To meet the needs of fault data analysis in the future intelligent environment and safety field, we propose the idea of causal relationship analysis of system fault. First, the problems existing in the analysis of system fault data by mathematical statistics are discussed, the correlation and relevance of system fault are studied, showing that the former is based on faulty data, reflecting the fault representation; the latter is based on fault concept, reflecting fault essence. The fault causal analysis in the intelligent situation is divided into four levels: data driven, factor driven, data-factor driven, and data-factor-hypothesis driven. Their characteristics are to separately obtain and understand a wide range of fault causal relationships, both considering and closer to human thought. The ability of the four drivers to analyze the fault causal relationship increases in turn, it can provide a channel for combining safety science and intelligent science.
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- 相似文献/References:
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[1]崔铁军,汪培庄.空间故障树与因素空间融合的智能可靠性分析方法[J].智能系统学报,2019,14(5):853.[doi:10.11992/tis.201807022]
CUI Tiejun,WANG Peizhuang.Intelligent reliability analysis method based on space fault tree and factor space[J].CAAI Transactions on Intelligent Systems,2019,14():853.[doi:10.11992/tis.201807022]
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备注/Memo
收稿日期:2020-03-01。
基金项目:国家自然科学基金项目(52004120, 51704141)；国家重点研发计划项目 (2017YFC1503102)；辽宁省教育厅科学研究项目 (LJ2020QNL018)；辽宁工程技术大学学科创新团队项目 (LNTU20TD-31)
作者简介:崔铁军，副教授，博士，主要研究方向为系统可靠性及系统故障演化理论，主持国家自然科学基金项目1项，授权发明专利22项。获得多项国家及省部级奖励。发表学术论文200余篇，出版专著5部;李莎莎，讲师，博士，主要研究方向为系统可靠性及安全管理，国家自然科学基金项目评审专家，主持国家自然科学基金项目1项，授权发明专利5项。发表学术论文20余篇，出版专著3部
通讯作者:崔铁军. E-mail：ctj.159@163.com
更新日期/Last Update:
2021-02-25