[1]崔铁军,李莎莎.人工智能系统故障分析原理研究[J].智能系统学报,2021,16(4):785-791.[doi:10.11992/tis.202003046]
CUI Tiejun,LI Shasha.Research on system fault analysis principle based on artificial intelligence system[J].CAAI Transactions on Intelligent Systems,2021,16(4):785-791.[doi:10.11992/tis.202003046]
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CUI Tiejun,LI Shasha.Research on system fault analysis principle based on artificial intelligence system[J].CAAI Transactions on Intelligent Systems,2021,16(4):785-791.[doi:10.11992/tis.202003046]
人工智能系统故障分析原理研究
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
16
期数:
2021年第4期
页码:
785-791
栏目:
学术论文—人工智能基础
出版日期:
2021-07-05
- Title:
- Research on system fault analysis principle based on artificial intelligence system
- Keywords:
- safety system engineering; space fault tree; intelligent science; system fault; analysis principle; information ecology methodology; system movement space; system mapping
- 分类号:
- TP391;X913;C931.1
- 摘要:
- 为研究未来系统在人工智能控制下的系统故障预测、预防、控制和恢复能力，提出一种基于信息生态方法论的人工智能系统故障分析方法。将研究对象划分为人、功能、自然和智能系统；以智能系统为核心，研究故障信息、知识和智能安全生成原理；论述了基础故障意识、情感和理智的特点。研究表明，系统故障的人工智能分析必须采用信息生态方法论结合安全科学理论进行。分析原理是基于信息生态方法论，考虑基础故障意识、情感与理智，及即时故障语义信息进行的综合决策与反应，以确保系统在规定条件下完成预定功能。
- Abstract:
- To study the ability of system fault prediction, prevention, control, and recovery under the control of artificial intelligence, an artificial intelligence system fault analysis method based on information ecology methodology is proposed. The research object is divided into human beings, function, nature, and intelligent system. Taking the intelligent system as the core, the fault information, knowledge, and intelligent safety generation principle are studied. In addition, the characteristics of basic fault consciousness, emotion, and reason are discussed. Results show that the artificial intelligence system fault analysis method must adopt the information ecology methodology in combination with safety science theory. The analysis principle is based on the information ecology methodology, considering the comprehensive decision and response of basic fault consciousness, emotion and reason, and real-time fault semantic information, to ensure that the system can complete the predetermined function under the specified conditions.
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- 相似文献/References:
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[1]崔铁军,李莎莎.少故障数据条件下SFEP最终事件发生概率分布确定方法[J].智能系统学报,2020,15(1):136.[doi:10.11992/tis.201911002]
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备注/Memo
收稿日期:2020-03-31。
基金项目:国家自然科学基金项目(52004120);国家重点研发计划项目(2017YFC1503102);辽宁省教育厅科学研究经费项目(LJ2020QNL018);辽宁工程技术大学学科创新团队资助项目（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智能分析理论。提出和建立了空间故障树理论及空间故障网络理论。发明专利20项。发表学术论文100余篇。出版学术专著5部;李莎莎，讲师，博士，主要研究方向为安全管理及其智能方法。参加了因素空间和空间故障树理论的研究。发明专利5项。发表学术论文20余篇。出版学术专著2部
通讯作者:崔铁军.E-mail:ctj.159@163.com
更新日期/Last Update:
1900-01-01