Learn More
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)
A vehicular driveline is the system used to transfer engine torque to the wheels. Resonances in the elastic parts of the driveline are important to handle when control of the engine and the transmission is optimized. Gear shifting by engine control is a new approach for automatic gear shifting with disengaging the clutch replaced by engine control.(More)
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)
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)
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)
— 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)
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)