bibtype C - Conference Paper (international conference)
ARLID 0428874
utime 20240103204319.7
mtime 20140624235959.9
title (primary) (eng) Probabilistic reasoning in service of condition monitoring
specification
page_count 9 s.
media_type C
serial
ARLID cav_un_epca*0428873
ISBN 978-1-63439-505-2
title Proceedings of the 11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies CM2014/MFPT2014
publisher
place Manchester
name The British Institute of Non-Destructive Testing
year 2014
keyword Condition monitoring
keyword subjective logic
keyword reliability
author (primary)
ARLID cav_un_auth*0212695
name1 Ettler
name2 P.
country CZ
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/2014/AS/dedecius-0428874.pdf
cas_special
project
project_id 7D12004
agency GA MŠk
ARLID cav_un_auth*0291242
abstract (eng) The paper depicts possibilities of utilization of the so called subjective logic to accomplish the second task. The main objective of the methodology is to provide simplified outputs based on complex artificial reasoning. Repetitive utilization of subjective logic operators aiming to respect the pyramidal structure of the system is illustrated by simple examples. Practical aspects of the used probabilistic calculus heading to its industrial utilization are discussed.
action
ARLID cav_un_auth*0303970
name 11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies CM2014/MFPT2014
place Manchester
dates 10.06.2014-12.06.2014
country GB
reportyear 2015
RIV BC
num_of_auth 2
presentation_type PR
permalink http://hdl.handle.net/11104/0234218
mrcbC61 1
confidential S
arlyear 2014
mrcbU63 cav_un_epca*0428873 Proceedings of the 11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies CM2014/MFPT2014 978-1-63439-505-2 Manchester The British Institute of Non-Destructive Testing 2014