广东工业大学学报2026，Vol.43Issue(1)：87-95,9.DOI:10.12052/gdutxb.250005
动态观测下随机离散事件系统模式故障安全诊断方法
A Safe Diagnosis Method of Pattern Faults of Stochastic Discrete-event Systems Under Dynamic Observations
摘要
Abstract
In many practical applications,faults are frequently caused by the occurrence of specific events in succession(i.e.,pattern faults)rather than a single failure event.The safe diagnosis method based on pattern faults can diagnose the event string that triggers faults.However,the static observation of the original system may not be able to fully capture system faults for complex systems due to the pre-defined and fixed set of observable and unobservable events,leading to the omission of the fault diagnosis.The purpose of this research is to address the limitations of traditional static observation methods.For this reason,a safe diagnosis method based on the dynamic observation of pattern faults in stochastic discrete-event systems(SDESs)is proposed.First,the concepts of S-type and T-type pattern safe diagnosability for SDESs under dynamic observations are formally introduced.Then,a pattern-safe diagnoser and a forbidden language recognizer are constructed to diagnose the pattern faults.Finally,the necessary and sufficient conditions for pattern-safe diagnosability of SDESs under dynamic observations are presented,and an example is provided to illustrate the results.关键词
随机离散事件系统/故障诊断/安全诊断/概率模型/模式故障/动态观测Key words
stochastic discrete event systems/fault diagnosis/safe diagnosis/probabilistic models/pattern faults/dynamic observations分类
信息技术与安全科学引用本文复制引用
朱泓臻,刘富春,陈平华..动态观测下随机离散事件系统模式故障安全诊断方法[J].广东工业大学学报,2026,43(1):87-95,9.基金项目
广东省自然科学基金资助项目(2023A1515012783) （2023A1515012783）
