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Titlebook: Detection of Abrupt Changes in Signals and Dynamical Systems; Michèle Basseville,Albert Benveniste Conference proceedings 1986 Springer-Ve

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书目名称Detection of Abrupt Changes in Signals and Dynamical Systems
编辑Michèle Basseville,Albert Benveniste
视频video
丛书名称Lecture Notes in Control and Information Sciences
图书封面Titlebook: Detection of Abrupt Changes in Signals and Dynamical Systems;  Michèle Basseville,Albert Benveniste Conference proceedings 1986 Springer-Ve
出版日期Conference proceedings 1986
关键词Signals; Systems; algorithms; cognition; dynamical systems; segmentation; signal processing
版次1
doihttps://doi.org/10.1007/BFb0006385
isbn_softcover978-3-540-16043-4
isbn_ebook978-3-540-39726-7Series ISSN 0170-8643 Series E-ISSN 1610-7411
issn_series 0170-8643
copyrightSpringer-Verlag Berlin Heidelberg 1986
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,III — Design of algorithms for change detection : Likelihood-oriented approaches,ther the off-line or the on-line point of view. Usually, the off-line point of view is more suitable to derive algorithms, following reasonable intuitions. We shall take the off-line point of view for deriving the basic methods ; these methods can be analyzed from either off-line or on-line viewpoin
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The two-models approach for the on-line detection of changes in AR processes, common feature of all these algorithms is real time (or quasi-real time) processing..In section I, we describe the two problems which arise for the detection of changes in spectral characteristics, namely detection and diagnosis..In section II, the only detection problem is extensively investigated
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The local method applied to the robust detection of changes in the poles of a pole-zero system,parameters to be monitored. As maximum likelihood methods cannot be used in this case, we derive a so-called instrumental statistics which, together with a local testing approach, gives a new test of x. type. The extension of this test for the problem of diagnosis is also described..Only the scalar
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Redundancy relations and robust failure detection,he robustness of the failure detection process depends to a great degree on the reliability of the redundancy relations given the inevitable presence of model uncertainties. In this paper we address the problem of determining redundancy relations which are optimally robust in a sense which includes
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