Distributed Classification in Wireless Sensor Networks for Machine Condition Monitoring

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00168779" target="_blank" >RIV/68407700:21230/10:00168779 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Distributed Classification in Wireless Sensor Networks for Machine Condition Monitoring

Popis výsledku v původním jazyce

The use of Wireless Sensor Network (WSN) in Machine Condition Monitoring (MCM) can bring many advantages compare to a classical approach. WSN is composed from nodes, where each node contains microcontroller, RF transmitter and sensor(s). The advantage ofWSN is mainly in flexibility and easy installation in hardly accessible areas. However, the significant disadvantage is a limited data flow from nodes to central controller. This is related to low transmission capability and to effort to minimize energyconsumption of each node. Hence it is not suitable to send the raw data from each node and interpret them in one the very last (main) node of a network. In this paper we propose an MCM system based on WSN using data pre-processing and feature extractionimplemented in nodes of WSN. The idea behind is to run the learning and operation phases on different platforms (PC versus WSN).

Název v anglickém jazyce

Distributed Classification in Wireless Sensor Networks for Machine Condition Monitoring

Popis výsledku anglicky

The use of Wireless Sensor Network (WSN) in Machine Condition Monitoring (MCM) can bring many advantages compare to a classical approach. WSN is composed from nodes, where each node contains microcontroller, RF transmitter and sensor(s). The advantage ofWSN is mainly in flexibility and easy installation in hardly accessible areas. However, the significant disadvantage is a limited data flow from nodes to central controller. This is related to low transmission capability and to effort to minimize energyconsumption of each node. Hence it is not suitable to send the raw data from each node and interpret them in one the very last (main) node of a network. In this paper we propose an MCM system based on WSN using data pre-processing and feature extractionimplemented in nodes of WSN. The idea behind is to run the learning and operation phases on different platforms (PC versus WSN).

Druh

D - Stať ve sborníku

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

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Projekt

<a href="/cs/project/GD102%2F09%2FH081" target="_blank" >GD102/09/H081: SYNERGIE - Mobilní senzorické systémy a sítě</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

The Seventh International Conference on Condition Monitoring and Machinery Failure Prevention Technologies

ISBN

978-1-901892-33-8

ISSN

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e-ISSN

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Počet stran výsledku

11

Strana od-do

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Název nakladatele

MFPT + BINDT (The British Institute of Non-destructive Testing)

Místo vydání

Dublin

Místo konání akce

Stratford-upon-Avon

Datum konání akce

22. 6. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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