Journal ArticleDOI
Desgin and comparative study of some sequential jump detection algorithms for digital signals
M. Basseville,A. Benveniste +1 more
TLDR
The purpose of this paper is to analyze the behavior of several jump detection algorithms when applied to the same real data (geophysical signals) and to compare these algorithms from different points of view: complexity, efficiency, robustness, and ability to characterize the detected jumps.Abstract:
The purpose of this paper is to analyze the behavior of several jump detection algorithms when applied to the same real data (geophysical signals) and to compare these algorithms from different points of view: complexity, efficiency, robustness, and ability to characterize the detected jumps. Three types of algorithms are investigated: "filtered derivatives" detectors, cumulative sum (cusum) tests, and Willsky's generalized likelihood ratio (GLR) algorithm. A modified version of this last test is elaborated, and a new detector, mixing GLR and cusum tests, is presented.read more
Citations
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Design of redundancy relations for failure detection and isolation by constrained optimization
TL;DR: In this article, the design of a fault detection and isolation (FDI) system for linear time-invariant processes subject to additive failures is considered, and the redundancy relations are obtained by minimizing a quadratic cost function under non-convex Quadratic inequality constraints.
Journal ArticleDOI
Fully Automatic Multiresolution Idealization for Filtered Ion Channel Recordings: Flickering Event Detection
TL;DR: In this paper, a new model-free segmentation method, JULES, is proposed, which combines recent statistical multiresolution techniques with local deconvolution for idealization of ion channel recordings.
Journal ArticleDOI
Using the Kalman Filtering for the Fault Detection and Isolation (FDI) in the Nonlinear Dynamic Processes
TL;DR: In this paper, a fault detection and isolation (FDI) method for stochastic nonlinear dynamic systems is presented, which is based on statistical information generated by the extended Kalman filter (EKF).
The Orange Labs Real Time Video Copy Detection System - TrecVid 2008 Results.
TL;DR: The content-based video copy detection system developed at Orange Labs is described and the obtained results show that the goal of having an efficient and effective system has been globally reached.
References
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Journal ArticleDOI
Paper: A survey of design methods for failure detection in dynamic systems
TL;DR: This paper surveys a number of methods for the detection of abrupt changes in stochastic dynamical systems, focusing on the class of linear systems, but the basic concepts carry over to other classes of systems.
A survey of design methods for failure detection in dynamic systems
TL;DR: A number of methods for detecting abrupt changes (such as failures) in stochastic dynamical systems are surveyed in this paper, where tradeoffs in complexity versus performance are discussed, ranging from the design of specific failure-sensitive filters, to the use of statistical tests on filter innovations, and the development of jump process formulations.
Journal ArticleDOI
A generalized likelihood ratio approach to the detection and estimation of jumps in linear systems
Alan S. Willsky,Harold L. Jones +1 more
TL;DR: In this article, the authors consider a class of stochastic linear systems that are subject to jumps of unknown magnitudes in the state variables occurring at unknown times and devise an adaptive filtering system for the detection and estimation of the jumps.
Journal ArticleDOI
Inference about the change-point from cumulative sum tests
TL;DR: In this paper, the authors examined a secondary aspect, where the departure from initial conditions has taken place in a sequence of normal random variables, where initially the mean and the variance o2 were known.
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A generalized likelihood ratio approach to the detection and estimation of jumps in linear systems
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