基于动态观测的分布式随机离散事件系统故障预测  

Fault Prediction of Decentralized Stochastic Discrete-Event Systems Based on Dynamic Observations

作　　者：廖辉[1] 刘富春[1] LIAO Hui;LIU Fuchun(School of Computer Science and Technology,Guangdong University of Technology,Guangzhou 510006,China)

机构地区：[1]广东工业大学计算机学院,广东广州510006

出　　处：《工业工程》2023年第2期50-58,共9页Industrial Engineering Journal

基　　金：国家自然科学基金资助项目(61673122);广东省自然科学基金资助项目(2020A1515010941,2023A1515012783)。

摘　　要：针对目前随机离散系统的事件可观测性事先固定不变且无法随系统的运行而动态变化的问题,提出一种基于动态观测的分布式故障预测方法。首先对动态观测下分布式随机离散事件系统D−协同可预测性进行形式化;然后为了实现动态观测下分布式故障预测,使用局部随机预测器构造D−协同预测器,给出一个基于D−协同预测器的分布式随机离散事件系统D−协同可预测性的充分必要条件,并提出一种D−协同可预测性的验证算法,该验证算法不仅可用于在线故障预测,还可用于线下可预测性验证;最后分析动态观测下分布式故障预测验证算法在实际应用上的适用性。In order to solve the problem that the current event observability of stochastic discrete-event systems(SDESs)is fixed in advance and cannot be changed dynamically with system evolution,a decentralized fault prediction method based on dynamic observations is proposed.First,the D-copredictability of decentralized SDESs under dynamic observations is formalized.Then,in order to conduct the fault prediction of decentralized SDESs with dynamic observations,a Dcopredictor is established using local stochastic predictors.A necessary and sufficient condition of D-copredictability for decentralized SDESs based on the D-copredictor is presented,while an algorithm for verifying the D-copredictability of SDESs is proposed.The proposed verification algorithm can be used not only for online fault prediction,but also for offline predictability verification.Finally,the applicability of the verification algorithm for decentralized fault prediction under dynamic observation is analyzed.

关 键 词：随机离散事件系统 分布式故障预测 协同可预测性 动态观测 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]