文章基本信息

标题：Optimal fault detection and estimation: a unified scheme and least squares solutions
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作者：S.X. Ding
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：24
页码：465-472
DOI：10.1016/j.ifacol.2018.09.618
语种：English
出版社：Elsevier
摘要：AbstractThe motivation and the objective of this work are to approach fault detection and estimation issues in a unified framework. It is demonstrated that least squares techniques can be applied to solve basic fault detection and estimation problems for static and dynamic, statistic/stochastic and deterministic, linear and nonlinear processes. The solutions are optimum in the sense of maximizing fault detectability with false alarm rate lower than a predefined level.
关键词：KeywordsFault detectionestimationleast squares estimationco-inner-outer factorization