[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 …

Robust fault detection system for insulin pump therapy using continuous glucose monitoring

P Herrero, R Calm, J Vehí, J Armengol… - Journal of diabetes …, 2012 - journals.sagepub.com
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 …

Identification of uncertain nonlinear systems: Constructing belief rule-based models

YW Chen, JB Yang, CC Pan, DL Xu, ZJ Zhou - Knowledge-Based Systems, 2015 - Elsevier
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 …

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 …

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 …

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 …

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 …

Set‐based Fault Detection and Isolation

Y Wang, V Puig - Diagnosis and Fault‐tolerant Control 1: Data …, 2021 - Wiley Online Library
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 …

[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 …

Verified diagnosis of safety critical dynamic systems based on kaucher interval arithmetic

S Schwab, O Stark, S Hohmann - IFAC-PapersOnLine, 2017 - Elsevier
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 …