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Sequential detection/isolation of abrupt changes with some applications

Abstract : The quickest change detection/isolation (multidecision) problem is of im- portance for a variety of applications. Efficient statistical decision tools are needed for detecting and isolating abrupt changes in the properties of stochastic signals and dynamical systems, ranging from on-line fault di- agnosis in complex technical systems to detection/classification in radar, infrared, and sonar signal processing. The early on-line fault diagnosis (detection/isolation) in industrial processes helps in preventing these pro- cesses from more catastrophic failures. The problem of on-line target detec- tion/classification is important when detecting and classifying a type of an abruptly appearing target.
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https://hal-utt.archives-ouvertes.fr/hal-02883330
Contributor : Jean-Baptiste Vu Van <>
Submitted on : Monday, June 29, 2020 - 9:07:09 AM
Last modification on : Tuesday, June 30, 2020 - 3:33:14 AM

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  • HAL Id : hal-02883330, version 1

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Igor Nikiforov. Sequential detection/isolation of abrupt changes with some applications. Machine Learning and Very Large Data Sets 2013, YANDEX School of Data Analysis, 2013, Moscow, Russia. ⟨hal-02883330⟩

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