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» Bayesian Fault Detection and Diagnosis in Dynamic Systems
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ESWA
2008
172views more  ESWA 2008»
13 years 7 months ago
DADICC: Intelligent system for anomaly detection in a combined cycle gas turbine plant
DADICC is the abbreviated name for an intelligent system able to detect on-line and diagnose anomalies as soon as possible in the dynamic evolution of the behaviour of a power pla...
Antonio L. Arranz Matía, Alberto Cruz, Migu...
CDC
2009
IEEE
126views Control Systems» more  CDC 2009»
13 years 11 months ago
An approach for the state estimation of Takagi-Sugeno models and application to sensor fault diagnosis
— In this paper, a new method to design an observer for nonlinear systems described by Takagi-Sugeno (TS) model, with unmeasurable premise variables, is proposed. Most of existin...
Dalil Ichalal, Benoît Marx, José Rago...
EUSFLAT
2007
131views Fuzzy Logic» more  EUSFLAT 2007»
13 years 9 months ago
Fault Diagnosis with Progressive Symptoms Based on Multi-Agent Approach
The paper is devoted to fault diagnosis problems using fuzzy decision making. We investigate dynamic diagnostic systems which can be represented by symptom-fault rule bases. The m...
Oleksandr Sokolov, Michael Wagenknecht, Ulrike Goc...
ICTAI
2005
IEEE
14 years 1 months ago
A Dynamic Bayesian Network for Handling Uncertainty in a Decision Support System Adapted to the Monitoring of Patients Treated b
Telemedicine is a mean of facilitating the distribution of human resources and professional competences. It can speed up diagnosis and therapeutic care delivery and allow peripher...
Cédric Rose, Cherif Smaili, François...
INFOCOM
2012
IEEE
11 years 10 months ago
Sherlock is around: Detecting network failures with local evidence fusion
—Traditional approaches for wireless sensor network diagnosis are mainly sink-based. They actively collect global evidences from sensor nodes to the sink so as to conduct central...
Qiang Ma, Kebin Liu, Xin Miao, Yunhao Liu