摘要
智能系统在交通运输、能源水利、智慧医疗、航空航天等领域有着广泛的应用前景,其可靠性直接关乎公共安全与社会稳定,必须经过科学充分的验证。深入探讨了智能系统可靠性仿真验证技术的现状,定义了智能系统可靠性,并指出了智能系统在任务场景建模、特性建模仿真、评估验证、仿真平台等方面所面临的诸多挑战。提出了未来的发展需求,为更可信、精准、高效的智能系统可靠性仿真测试与验证技术研究提供指导,推动智能系统的高质量发展。
Intelligent systems are extensively deployed in domains such as transportation,energy and water resources,smart healthcare,and aerospace,where their reliability is directly linked to public safety and social stability,thus requiring thorough and scientifically rigorous verification.This article conducted an in-depth exploration of the current state of reliability simulation and verification techniques for intelligent systems.It defined the concept of reliability specific to intelligent systems and identified key challenges they face in areas including mission scenario modeling,characteristic modeling and simulation,evaluation and verification,and simulation platforms.Future development requirements were proposed to guide research toward more trustworthy,precise,and efficient reliability simulation and verification technologies for intelligent systems,thereby facilitating their high-quality development.
作者
王自力
高鋆添
杨德真
刘烨炀
任羿
Wang Zili;Gao Yuntian;Yang Dezhen;Liu Yeyang;Ren Yi(National Key Laboratory of Reliability and Environmental Engineering,Beijing 100191,China;School of Reliability and Systems Engineering,Beihang University,Beijing 100191,China)
出处
《系统仿真学报》
北大核心
2025年第7期1583-1606,共24页
Journal of System Simulation
关键词
智能系统
可靠性
任务场景
可靠性仿真测试
可靠性评估
可靠性验证
intelligent system
reliability
mission scenario
reliability simulation testing
reliability evaluation
reliability verification
