文章基本信息

标题：A Generalized Inference-Based Prognosis Framework for Discrete Event Systems
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作者：Shigemasa Takai ; Ratnesh Kumar
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2017
卷号：50
期号：1
页码：6819-6824
DOI：10.1016/j.ifacol.2017.08.1201
语种：English
出版社：Elsevier
摘要：AbstractWe previously introduced an inference-based framework for decentralized prognosis of discrete event systems, and formulated the notion of N-inference V-prognosability to characterize the existence of a disjunctive decentralized prognosis scheme such that any fault can be predicted prior to its occurrence by at least one of the prognosers, using at most N-levels of inferencing. While the disjunctive scheme relies on one of the prognosers making a positive decision, the dual conjunctive scheme relies on none of the prognosers making a negative decision. It is known that the two schemes are incomparable, and in this paper we extend our earlier work to provide a more general framework, by introducing a notion of N-inference prognosability, that captures both disjunctive and conjunctive schemes. We also develop a method for verifying N-inference prognosability.
关键词：KeywordsDiscrete event systemDecentralized prognosisInference prognosability