[1]崔铁军,李莎莎.线性熵的系统故障熵模型及其时变研究[J].智能系统学报,2021,16(6):1136-1142.[doi:10.11992/tis.202006034]
CUI Tiejun,LI Shasha.System fault entropy model and its time-varying based on linear entropy[J].CAAI Transactions on Intelligent Systems,2021,16(6):1136-1142.[doi:10.11992/tis.202006034]
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CUI Tiejun,LI Shasha.System fault entropy model and its time-varying based on linear entropy[J].CAAI Transactions on Intelligent Systems,2021,16(6):1136-1142.[doi:10.11992/tis.202006034]
线性熵的系统故障熵模型及其时变研究
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
16
期数:
2021年第6期
页码:
1136-1142
栏目:
学术论文—人工智能基础
出版日期:
2021-11-05
- Title:
- System fault entropy model and its time-varying based on linear entropy
- Keywords:
- intelligent science; safety science; safety system engineering; space fault tree; factor space; system fault entropy; linear entropy; time-varying analysis
- 分类号:
- TP18;X913;C931.1
- 摘要:
- 为研究系统故障在不同因素叠加时体现的总体规律、故障变化程度和故障信息量，提出系统故障熵的概念。基于线性熵的线性均匀度特性，推导了多因素相被划分为两状态时的线性熵模型。认为线性熵可以表征系统故障熵，进而研究了系统故障熵的时变特征。对连续时间间隔内的不同因素状态叠加下系统故障进行统计，得到系统故障概率分布，绘制系统故障熵时变曲线。从结果来看至少可以完成3项任务：从变化规律得到考虑不同因素影响下的系统故障熵变化情况，系统故障熵的总体变化规律，系统可靠性的稳定性。此研究可应用于类似情况下的各领域故障及数据分析。
- Abstract:
- The concept of system fault entropy is proposed to study the general rule, fault variation degree, and the fault information of the system fault under different superposed factors. A linear entropy model with a multifactor phase divided into two states is derived based on the linear uniformity of the linear entropy. The linear entropy can represent the system fault entropy; thus, the time-varying characteristics of the system fault entropy can be studied. The system fault probability distribution is obtained by counting the faults under the superposition of different factor states in continuous time intervals. Then, the time-varying curve of the system fault entropy is drawn. The results show that at least three tasks can be completed: 1) Obtaining the change of the system fault entropy under different factors from the change law. 2) Obtaining the general change rule of the system fault entropy. 3) Studying the stability of the system reliability. The research results can be applied to fault and data analyses in various fields in similar cases.
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备注/Memo
收稿日期:2020-06-21。
基金项目:国家自然科学基金项目(52004120，51704141)；国家重点研发计划重点专项(2017YFC1503102)；国家自然科学基金委主任基金项目(61350003)
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力学系统稳定性。提出和建立了空间故障树及空间故障网络理论。主持国家自然科学基金项目1项。获得多项优秀论文奖。获发明专利授权22项，出版学术专著4部，发表学术论文100余篇;李莎莎，讲师，博士，主要研究方向为安全管理及其智能分析。参加了因素空间和空间故障树理论的研究。主持国家自然科学基金项目1项。获发明专利授权5项，出版学术专著2部，发表学术论文20余篇
通讯作者:崔铁军.E-mail:ctj.159@163.com
更新日期/Last Update:
2021-12-25