Two phase failure detection using fuzzy logic
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F19%3A50015995" target="_blank" >RIV/62690094:18450/19:50015995 - isvavai.cz</a>
Výsledek na webu
<a href="https://link.springer.com/chapter/10.1007/978-3-030-28377-3_22" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-28377-3_22</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-28377-3_22" target="_blank" >10.1007/978-3-030-28377-3_22</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Two phase failure detection using fuzzy logic
Popis výsledku v původním jazyce
Control systems certainly deserve increased attention, as they can be found in many industrial environments, they are exploitable for military purposes, in transportation, and in many other areas. In this paper we propose the implementation of a control system for sensor failures detection using fuzzy logic approach for data analysis. We divide the system into two separate subsystems to ensure better suitability and adaptation to specific sensor data. One of these subsystems will be implemented exactly in the nodes which collect data from sensors. The second one will be implemented on the (cloud) server where all the signals are collected. The system implemented on the nodes will ensure that all the data are in the correct range of the monitored sensor and it could initiate the measurement repeatedly when the first measurement failed or its value is corrupted. The proposed system could be of importance in any control or manufacturing process were any redundant sensors and collected data directly affect parameters of the process.
Název v anglickém jazyce
Two phase failure detection using fuzzy logic
Popis výsledku anglicky
Control systems certainly deserve increased attention, as they can be found in many industrial environments, they are exploitable for military purposes, in transportation, and in many other areas. In this paper we propose the implementation of a control system for sensor failures detection using fuzzy logic approach for data analysis. We divide the system into two separate subsystems to ensure better suitability and adaptation to specific sensor data. One of these subsystems will be implemented exactly in the nodes which collect data from sensors. The second one will be implemented on the (cloud) server where all the signals are collected. The system implemented on the nodes will ensure that all the data are in the correct range of the monitored sensor and it could initiate the measurement repeatedly when the first measurement failed or its value is corrupted. The proposed system could be of importance in any control or manufacturing process were any redundant sensors and collected data directly affect parameters of the process.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2019
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Computational Collective Intelligence. ICCCI 2019
ISBN
978-3-030-28376-6
ISSN
0302-9743
e-ISSN
—
Počet stran výsledku
12
Strana od-do
271-282
Název nakladatele
Springer
Místo vydání
Cham
Místo konání akce
Hendaye
Datum konání akce
4. 9. 2019
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—