Strong fault prognosability of partially-observed discrete event systems

作     者：Yingrui ZHOU Zengqiang CHEN Zhongxin LIU Zhipeng ZHANG 

作者机构：College of Artificial Intelligence Nankai University School of Computer Science and Engineering Tianjin University of Technology 

出 版 物：《Science China(Information Sciences)》 (中国科学:信息科学(英文版))

年 卷 期：2023年第66卷第3期

页      面：301-302页

核心收录：

学科分类：08[工学] 080401[工学-精密仪器及机械] 0804[工学-仪器科学与技术] 080402[工学-测试计量技术及仪器] 0838[工学-公安技术] 

基　　金：supported by National Natural Science Foundation of China (Grant No. 61973175) Tianjin Natural Science Foundation (Grant Nos. 20JCYBJC01060, 20JCQNJC01450) 

摘      要：Dear editor, As an important model to analyze cyber-physical systems,the study of discrete event systems has always been prevailing [1–4]. Especially, the problem of fault prognosis becomes a crucial subject for its applications in security and maintenance [5]. In decentralized fault prognosis, the given system can be monitored by several agents and each agent sends its local observation to the global prognoser,