Two phase failure detection using fuzzy logic
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Two phase failure detection using fuzzy logic
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Computational Collective Intelligence. ICCCI 2019
ISBN
978-3-030-28376-6
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
271-282
Publisher name
Springer
Place of publication
Cham
Event location
Hendaye
Event date
Sep 4, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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