Probabilistic reasoning in service of condition monitor
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F48361143%3A_____%2F14%3A%230000021" target="_blank" >RIV/48361143:_____/14:#0000021 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Probabilistic reasoning in service of condition monitor
Original language description
Nowadays practically all control systems include at least some elements of maintenance support and condition monitoring. Putting them together to create a consistent and transparent system is far from being a commonplace. Our contribution presents a common effort of an international consortium, developing a novel probabilistic condition monitoring framework. The research tasks can be divided into two groups: (i) probabilistic evaluation of health of single components of the control system, such as measured signals, actuators, hardware units, and others, and (ii) hierarchical propagation and compounding of the related uncertain health information into a clear continuous notice to operators or maintenance personnel. 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 a
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
BB - Applied statistics, operational research
OECD FORD branch
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Result continuities
Project
<a href="/en/project/7D12004" target="_blank" >7D12004: Probabilistic distributed industrial system monitor</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
The Eleventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2014)
ISBN
9781634395052
ISSN
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e-ISSN
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Number of pages
9
Pages from-to
757-765
Publisher name
BINDT
Place of publication
Manchester
Event location
Manchester
Event date
Jan 1, 2014
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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