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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Journal ArticleDOI
Combined Signal and Model-Based Sensor Fault Diagnosis for a Doubly Fed Induction Generator
TL;DR: A residual generator based on the DFIG model is proposed using the structure of the classical generalized observer scheme, but each observer in this scheme is replaced by a robust H_/H∞ fault detection filter followed by a Kalman-like observer, which attenuates the effect of the modeling uncertainties on the residuals.
Journal ArticleDOI
A complete procedure for leak detection and diagnosis in a complex heat exchanger using data-driven fuzzy models
TL;DR: In this paper, an efficient fuzzy model-based leak detection algorithm is designed for a pilot heat exchanger and has proven to be efficient in detecting leaks of different magnitudes in the water circulation pipe.
Book ChapterDOI
On -line detection of jumps in mean
TL;DR: The purpose of this first chapter is the presentation of the main concepts and tools which are used for on-line detection of model changes, in the simplest case, namely jumps in mean.
Book ChapterDOI
Detection of abrupt changes in signals and dynamical systems : Some statistical aspects
A. Benveniste,M. Basseville +1 more
TL;DR: The aim of this paper is to present some points of this detection problem, with a particular emphasis on the statistical aspects, leaving out the system theoretic aspects, which are of great importance in the control context, or, more generally, in the case of multichannel signal processing.
Journal ArticleDOI
Model-based fault detection and isolation for a gas–liquid separation unit
TL;DR: In this article, a complete fault detection and isolation system for a gas-liquid separation unit is designed, which involves the determination and identification of grey box models, the design of a model-based residual generator, and finally the evaluation of the residuals via a set of statistical tests.
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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