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- Mattias Krysander, Erik Frisk
- IEEE Trans. Systems, Man, and Cybernetics, Part A
- 2008

- Erik Frisk, Mattias Nyberg
- Automatica
- 2001

A fundamental part of a fault diagnosis system is the residual generator. Here a new method, the minimal polynomial basis approach, for design of residual generators for linear systems, is presented. The residual generation problem is transformed into a problem of finding polynomial bases for null-spaces of polynomial matrices. This is a standard problem in… (More)

- Erik Frisk, Aníbal Bregón, Jan Åslund, Mattias Krysander, Belarmino Pulido Junquera, Gautam Biswas
- IEEE Trans. Systems, Man, and Cybernetics, Part A
- 2012

This work is focused on structural approaches to studying diagnosability properties given a system model taking into account, both simultaneously or separately, integral and differential causal interpretations for differential constraints. We develop a model characterization and corresponding algorithms , for studying system diagnosability using a… (More)

- Erik Frisk, Mattias Krysander, Jan Åslund
- Automatica
- 2009

An algorithm is proposed for computing which sensor additions that make a diagnosis requirement specification regarding fault detectability and isolability attainable for a given linear differential-algebraic model. Restrictions on possible sensor locations can be given and if the diagnosis specification is not attainable with any available sensor addition,… (More)

An algorithm is developed for computing which sensors to add to obtain maximum fault detectabil-ity and fault isolability. The method is based on only the structural information in a model which means that large and non-linear differential-algebraic models can be handled in an efficient manner. The approach is exemplified on a model of an industrial valve… (More)

- Daniel Eriksson, Erik Frisk, Mattias Krysander
- Automatica
- 2013

Analyzing fault diagnosability performance for a given model, before developing a diagnosis algorithm, can be used to answer questions like " How difficult is it to detect a fault fi? " or " How difficult is it to isolate a fault fi from a fault fj? ". The main contributions are the derivation of a measure, distinguishability, and a method for analyzing… (More)

- Daniel Eriksson, Mattias Krysander, Erik Frisk
- CDC-ECE
- 2011

— A theory is developed for quantifying fault de-tectability and fault isolability properties of static linear stochastic models. Based on the model, a stochastic characterization of system behavior in different fault modes is defined and a general measure, based on the Kullback-Leibler information, is proposed to quantify the difference between the modes.… (More)

A theory is developed for quantifying fault detectabil-ity and fault isolability properties of time discrete linear dynamic models. Based on the model, a stochas-tic characterization of system behavior in different fault modes is defined and a general measure, called distinguishability, based on the Kullback-Leibler information , is used to quantify the… (More)

- Carl Svärd, Mattias Nyberg, +5 authors Mattias Krysanderb
- 2014

Fault tolerant systems are considered, where a nominal system is monitored by a fault detection algorithm, and the nominal system is switched to a backup system in case of a detected fault. Conventional fault detection is in the classical setting a trade-off between detection probability and false alarm probability. For the considered fault tolerant system,… (More)