[1]崔铁军,李莎莎.系统故障演化过程熵及其受逻辑关系的影响研究[J].智能系统学报,2024,19(3):749-756.[doi:10.11992/tis.202209036]
CUI Tiejun,LI Shasha.Study on entropy of system fault evolution process and its influence on logical relationships[J].CAAI Transactions on Intelligent Systems,2024,19(3):749-756.[doi:10.11992/tis.202209036]
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
19
期数:
2024年第3期
页码:
749-756
栏目:
学术论文—人工智能基础
出版日期:
2024-05-05
- Title:
-
Study on entropy of system fault evolution process and its influence on logical relationships
- 作者:
-
崔铁军1,2, 李莎莎1,3
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1. 沈阳理工大学 环境与化学工程学院, 辽宁 沈阳 110159;
2. 辽宁工程技术大学 安全科学与工程学院, 辽宁 葫芦岛 125105;
3. 辽宁工程技术大学 工商管理学院, 辽宁 葫芦岛 125105
- Author(s):
-
CUI Tiejun1,2, LI Shasha1,3
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1. School of Environmental and Chemical Engineering, Shenyang Ligong University, Shenyang 110159, China;
2. College of Safety Science and Engineering, Liaoning Technical University, Huludao 125105, China;
3. School of Business Administration, Liaoni
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- 关键词:
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安全系统工程; 系统故障演化过程; 故障概率分布; 演化熵; 分布熵; 与或逻辑; 影响研究; 系统功能状态
- Keywords:
-
safety system engineering; system fault evolution process; fault probability distribution; evolution entropy; distribution entropy; AND OR logic; influence research; system function status
- 分类号:
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TP18;X913;C931.1
- DOI:
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10.11992/tis.202209036
- 文献标志码:
-
2023-09-20
- 摘要:
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为研究系统故障演化过程中系统功能状态变化的混乱程度,引入熵概念提出了系统故障演化过程熵(简称演化熵)。演化熵是演化过程某时刻的系统功能状态混乱程度,是系统演化从一时刻发展到另一时刻的系统功能状态混乱程度的变化度量,数值上等于该时刻事件故障概率分布熵(简称分布熵)。研究表明演化熵只能通过某时刻事件故障概率分布得到,且具有确定的值域范围;演化过程中的事件逻辑关系对演化熵的变化有直接影响,或逻辑使演化熵降低且小于任意参与事件的分布熵,与逻辑使演化熵增加且大于任意参与事件的分布熵;随传递次数增加,与逻辑和或逻辑分别对演化熵的提高和降低作用减小。最后通过实例展示了演化熵的确定过程,总结了目前研究存在的问题,提出了后继研究方向。
- Abstract:
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To study the chaotic degree of system function state change in the system fault evolution process, the concept of entropy is introduced, and the entropy of the system fault evolution process (evolution entropy for short) is proposed. Evolution entropy is the chaotic degree of the system function state at a certain time in the evolution process. It is a measure of change in the chaotic degree of the system function state when the system evolution develops from one moment to another. It is numerically equal to the event fault probability distribution entropy at that moment (referred to as distribution entropy). The research shows that the evolution entropy can only be obtained from the event fault probability distribution at a certain moment and has a certain range of value domains. The logical relationship of events in the evolution process directly impacts the change in evolution entropy. The OR logic reduces the evolution entropy to less than the distribution entropy of any participating event. Moreover, the AND logic increases the evolution entropy to greater than the distribution entropy of any participating event. With the increase in transfer time, the effect of AND logic and OR logic on the increase and decrease in evolution entropy reduces, respectively. Finally, the determination process of evolution entropy is exhibited by an example, summarizing the problems existing in the current research and putting forward the following research direction.
备注/Memo
收稿日期:2022-09-18。
基金项目:国家自然科学基金资助项目(52004120)
作者简介:崔铁军,教授,博士生导师,博士,安全科学与工程博士后,力学博士后,主要研究方向为系统安全学、智能理论、系统故障演化理论。获辽宁青年科技奖、辽宁省优秀科技工作者;第一完成人获省部及学会科技进步奖一等奖2项、二等奖2项、三等奖5项。出版学术专著10部。主持或参与8项国家自然科学基金、国家重点研发计划项目等。授权发明专利26项,发表学术论文300余篇。E-mail:ctj.159@163.com;李莎莎,副教授,校聘教授,博士,安全科学与工程博士后,主要研究方向为系统可靠性、安全管理理论。中国人工智能学会终身会员,国家自然科学基金项目评审专家;《防灾减灾学报》编委,《兵器装备工程学报》青年编委。获省部级科技进步奖6项。主持参与4项国家自然科学基金、国家重点研发计划项目等,授权发明专利10项。出版学术专著6部,发表学术论文近100篇。E-mail:lsslntu@163.com
通讯作者:李莎莎. E-mail:lsslntu@163.com
更新日期/Last Update:
1900-01-01