[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):853-864.[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(5):853-864.[doi:10.11992/tis.201807022]
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
14
期数:
2019年第5期
页码:
853-864
栏目:
综述
出版日期:
2019-09-05
- Title:
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Intelligent reliability analysis method based on space fault tree and factor space
- 作者:
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崔铁军1,2, 汪培庄3
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1. 辽宁工程技术大学 安全科学与工程学院, 辽宁 阜新 123000;
2. 大连交通大学 辽宁省隧道与地下结构工程技术研究中心, 辽宁 大连 116028;
3. 辽宁工程技术大学 数学与系统科学研究院, 辽宁 阜新 123000
- Author(s):
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CUI Tiejun1,2, WANG Peizhuang3
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1. College of Safety Science and Engineering, Liaoning Technical University, Fuxin 123000, China;
2. Tunnel & Underground Structure Engineering Center of Liaoning, Dalian Jiaotong University, Dalian 116028, China;
3. Institute of Mathematics and Systems Science, Liaoning Technical University, Fuxin 123000, China
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- 关键词:
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安全科学; 安全系统工程; 空间故障树; 因素空间; 系统可靠性; 智能科学; 系统演化过程; 普适框架
- Keywords:
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safety science; safety system engineering; space fault tree; factor space; system reliability; intelligent science; system evolution process; universal framework
- 分类号:
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X913;C931.1;TP18
- DOI:
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10.11992/tis.201807022
- 摘要:
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现有系统可靠性分析方法一般具有针对性,缺乏广泛的适应性和扩展性。由于智能科学、信息科学和大数据技术的涌现和发展,使得传统可靠性分析技术难以适应新的需要。因此作者提出了空间故障树理论,目的是分析多因素影响下的系统可靠性变化特征。将空间故障树理论与因素空间理论、云模型、模糊数学及系统稳定性等相结合,使其具有智能分析和故障大数据处理能力,以满足未来技术环境下的分析要求。本文论述了空间故障树和因素空间的发展史及主要理论与功能;以及两种理论结合,描述和分析系统演化过程的可行性。研究表明,空间故障树理论具有良好的扩展性和适应性,可适应未来技术环境,也可作为系统演化过程分析的普适框架。
- Abstract:
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The existing system reliability analysis methods are generally targeted and lack extensive adaptability and expansibility. Moreover, due to the emergence and development of intelligent science, information science, and big data technology, the traditional reliability analysis technology can hardly meet the new demands. Therefore, the authors propose the space fault tree theory to analyze the reliability change characteristics of systems influenced by multiple factors. The space fault tree theory is combined with factor space theory, cloud model, fuzzy mathematics, and system stability theory to enable it have the ability of intelligent analysis and fault big data processing, so as to meet the analysis requirements in the future technology environment. This paper discusses the development history and the main theories and functions of the space fault tree and factor space, as well as the feasibility of combining these two theories to describe and analyze the system evolution process. The results show that the space fault tree theory has good expansibility and adaptability; it adapts to future technology environment and can also be used as a universal framework for the analysis of a system evolution process.
备注/Memo
收稿日期:2018-07-21。
基金项目:国家自然科学基金项目(51704141);国家重点研发计划项目(2017YFC1503102);国家自然科学基金委主任基金项目(61350003).
作者简介:崔铁军,男,1983年生,副教授,博士,主要研究方向为系统可靠性及力学系统稳定性。提出和建立了空间故障树理论及空间故障网络理论。获得多项优秀论文奖,取得发明专利17项,发表学术论文100余篇,出版学术专著4部;汪培庄,男,1936年生,教授,博士生导师,主要研究方向为模糊数学及其在人工智能中的应用。提出和创立了模糊集的随机落影表示、真值流推理和因素空间等数学理论,获得多项国家级和部委级奖励及国际奖1项。发表学术论文200余篇,出版学术著作4部。
通讯作者:崔铁军.E-mail:ctj.159@163.com
更新日期/Last Update:
1900-01-01