A method for quantitative fault diagnosability analysis of stochastic linear descriptor models
type: Item
instance of: scholarly article
title: A method for quantitative fault diagnosability analysis of stochastic linear descriptor models
zbMATH Open document ID: 1360.93648
author: Daniel Eriksson
author: Erik Frisk
author: Mattias Krysander
published in: Automatica
publication date: 2017-04-19T00:00:00Z
full work available at URL: http://urn.kb.se/resolve
Mathematics Subject Classification ID: 93E03
Mathematics Subject Classification ID: 93B35
Mathematics Subject Classification ID: 93C55
Mathematics Subject Classification ID: 93C10
zbMATH DE Number: 6706185
zbMATH Keywords: fault diagnosability analysis
zbMATH Keywords: fault detection and isolation
zbMATH Keywords: model-based diagnosis
MaRDI profile type: Publication
OpenAlex ID: W2108018601
cites work: A Bayesian solution to the multiple composite hypothesis testing for fault diagnosis in dynamic systems
cites work: Q3121550
cites work: Q3996777
cites work: Optimal stochastic fault detection filter.
cites work: Structural analysis for the sensor location problem in fault detection and isolation
cites work: Interpreting Kullback--Leibler divergence with the Neyman-Pearson Lemma
cites work: Sensor placement for fault isolation in linear differential-algebraic systems
cites work: Robust residual generation for diagnosis including a reference model for residual behavior
cites work: A minimal polynomial basis solution to residual generation for fault diagnosis in linear systems
cites work: Designing dynamic consistency relations for fault detection and isolation
cites work: Robust fault detection in uncertain dynamic systems
cites work: Q3138763
cites work: On Information and Sufficiency
cites work: Q5708359
cites work: Criterions for detectability and strong detectability of faults in linear systems
cites work: Residual Generation for Fault Diagnosis of Systems Described by Linear Differential-Algebraic Equations
cites work: Disturbance decoupling in fault detection of linear periodic systems
cites work: An LMI approach to design robust fault detection filter for uncertain LTI systems.
DOI: 10.1016/J.AUTOMATICA.2013.02.045
description: scientific article; zbMATH DE number 6706185