[PDF][PDF] Fault diagnosis and fault tolerant control using set-membership approaches: Application to real case studies
V Puig - 2010 - intapi.sciendo.com
This paper reviews the use of set-membership methods in fault diagnosis (FD) and fault
tolerant control (FTC). Setmembership methods use a deterministic unknown-but-bounded …
tolerant control (FTC). Setmembership methods use a deterministic unknown-but-bounded …
Robust fault detection system for insulin pump therapy using continuous glucose monitoring
Background: The popularity of continuous subcutaneous insulin infusion (CSII), or insulin
pump therapy, as a way to deliver insulin more physiologically and achieve better glycemic …
pump therapy, as a way to deliver insulin more physiologically and achieve better glycemic …
Identification of uncertain nonlinear systems: Constructing belief rule-based models
The objective of this paper is to construct reliable belief rule-based (BRB) models for the
identification of uncertain nonlinear systems. The BRB methodology is developed from the …
identification of uncertain nonlinear systems. The BRB methodology is developed from the …
Empirical sensitivity analysis of discretization parameters for fault pattern extraction from multivariate time series data
S Baek, DY Kim - IEEE transactions on cybernetics, 2016 - ieeexplore.ieee.org
It has been a challenge to find patterns in a time series of sensor data for fault detection in a
system. Since it is usually not straightforward to discover meaningful features and rules …
system. Since it is usually not straightforward to discover meaningful features and rules …
Integration of simulation and state observers for online fault detection of nonlinear continuous systems
A Bregon, CJ Alonso-González… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
The development of efficient and reliable fault detection approaches is necessary to improve
performance, safety, and reliability in engineering systems. Moreover, these approaches …
performance, safety, and reliability in engineering systems. Moreover, these approaches …
On the prediction of glucose concentration under intra-patient variability in type 1 diabetes: A monotone systems approach
D De Pereda, S Romero-Vivo, B Ricarte… - Computer methods and …, 2012 - Elsevier
Insulin therapy in type 1 diabetes aims to mimic the pattern of endogenous insulin secretion
found in healthy subjects. Glucose–insulin models are widely used in the development of …
found in healthy subjects. Glucose–insulin models are widely used in the development of …
Robust Model-Based Fault Detection Using Monte-Carlo Methods and Highest Density Regions
F Mardt, F Thielecke - PHM Society European Conference, 2021 - papers.phmsociety.org
One of the major challenges in model based fault detection is the robust design of
thresholds for the analytical redundancy relations. Those relations are residuals which differ …
thresholds for the analytical redundancy relations. Those relations are residuals which differ …
Set‐based Fault Detection and Isolation
Model‐based fault detection of dynamic processes is based on the use of models (ie
analytical redundancy) to check the consistency of observed behaviors. The robustness of a …
analytical redundancy) to check the consistency of observed behaviors. The robustness of a …
[PDF][PDF] Computer graphics, linear interpolation, and nonstandard intervals
A Neumaier - Wien: Universität Wien, 2009 - arnold-neumaier.at
Computer graphics, linear interpolation, and nonstandard intervals Page 1 Computer graphics,
linear interpolation, and nonstandard intervals Arnold Neumaier Fakultät für Mathematik …
linear interpolation, and nonstandard intervals Arnold Neumaier Fakultät für Mathematik …
Verified diagnosis of safety critical dynamic systems based on kaucher interval arithmetic
This paper proposes a new method for the diagnosis of dynamical systems based on input
and output measurement data. The basis of this verification procedure is a system …
and output measurement data. The basis of this verification procedure is a system …