bibtype C - Conference Paper (international conference)
ARLID 0396447
utime 20240103203003.9
mtime 20131001235959.9
title (primary) (eng) Preliminaries of probabilistic hierarchical fault detection
specification
page_count 14 s.
media_type P
serial
ARLID cav_un_epca*0396446
ISBN 978-80-903834-8-7
title Preprints of the 3rd International Workshop on Scalable Decision Making held in conjunction with ECML/PKDD 2013
publisher
place Prague
name Institute of Information Theory and Automation
year 2013
editor
name1 Guy
name2 Tatiana V.
editor
name1 Kárný
name2 Miroslav
keyword Fault detection
keyword FDI
keyword probabilistic logic
keyword system health
author (primary)
ARLID cav_un_auth*0101119
name1 Jirsa
name2 Ladislav
full_dept (cz) Adaptivní systémy
full_dept (eng) Department of Adaptive Systems
department (cz) AS
department (eng) AS
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0101175
name1 Pavelková
name2 Lenka
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0242543
name1 Dedecius
name2 Kamil
full_dept (cz) Adaptivní systémy
full_dept Department of Adaptive Systems
department (cz) AS
department AS
institution UTIA-B
full_dept Department of Adaptive Systems
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2013/AS/jirsa-preliminaries of probabilistic hierarchical fault detection.pdf
cas_special
project
project_id 7D12004
agency GA MŠk
ARLID cav_un_auth*0291242
project
project_id GA13-13502S
agency GA ČR
ARLID cav_un_auth*0292725
abstract (eng) The paper proposes a novel probabilistic fault detection and isolation (FDI) system that enables to evaluate dynamically the industrial system condition (health) at any level of its functional hierarchy. The investigated industrial system is considered as a set of interconnected individual components. Each component acts in its noisy environment as an imperfect participant, more or less dependent on neighbouring components and, in turn, influencing some others. The nature of the problem prevents us from expressing sufficiently hard propositions about the health of the system as a whole at once but we can observe and construct propositions at lower system hierarchies. These propositions (opinions) are combined at higher levels using the rules of probabilistic logic, retaining the ignorance and finally yielding a single opinion on the health of the whole monitored system.
action
ARLID cav_un_auth*0294526
name The 3rd International Workshop on Scalable Decision Making: Uncertainty, Imperfection, Deliberation held in conjunction with ECML/PKDD 2013
place Prague
dates 23.09.2013-23.09.2013
country CZ
reportyear 2014
RIV BC
num_of_auth 3
presentation_type PO
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0224316
mrcbC61 1
arlyear 2013
mrcbU63 cav_un_epca*0396446 Preprints of the 3rd International Workshop on Scalable Decision Making held in conjunction with ECML/PKDD 2013 978-80-903834-8-7 Preprints of the 3rd International Workshop on Scalable Decision Making held in conjunction with ECML/PKDD 2013 Prague Institute of Information Theory and Automation 2013
mrcbU67 Guy Tatiana V. 340
mrcbU67 Kárný Miroslav 340