Quality-Based Multiple Sensor Fusion in an Industrial Wireless Sensor Network for MCM

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00209313" target="_blank" >RIV/68407700:21230/14:00209313 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6678819" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6678819</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/TIE.2013.2293710" target="_blank" >10.1109/TIE.2013.2293710</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Quality-Based Multiple Sensor Fusion in an Industrial Wireless Sensor Network for MCM

Popis výsledku v původním jazyce

The early alert monitoring system for an effective scheduled maintenance strategy based on a wireless technology requires reliable transfer of the diagnostic information between the sensor and the gateway. This paper presents an IWSN-based machine condition monitoring (MCM) system capable of overcoming a false indication caused by temporary loss of data, signal interference or invalid data. We use multi-sensor fusion driven by a quality parameter, produced by each sensor node according to the data history outliers and the actual state of the node. The fusion node provides a quality evaluation on its output as well. This novel approach enables the propagation of information about the uncertainty of a measured value from the source node to the sink node.Thus potential degradation of acquired or transferred diagnostic information is minimized. Instead of raw data the signal features are transferred, so that bandwidth savings are improved rapidly. The proposed concept was experimentally v

Název v anglickém jazyce

Quality-Based Multiple Sensor Fusion in an Industrial Wireless Sensor Network for MCM

Popis výsledku anglicky

The early alert monitoring system for an effective scheduled maintenance strategy based on a wireless technology requires reliable transfer of the diagnostic information between the sensor and the gateway. This paper presents an IWSN-based machine condition monitoring (MCM) system capable of overcoming a false indication caused by temporary loss of data, signal interference or invalid data. We use multi-sensor fusion driven by a quality parameter, produced by each sensor node according to the data history outliers and the actual state of the node. The fusion node provides a quality evaluation on its output as well. This novel approach enables the propagation of information about the uncertainty of a measured value from the source node to the sink node.Thus potential degradation of acquired or transferred diagnostic information is minimized. Instead of raw data the signal features are transferred, so that bandwidth savings are improved rapidly. The proposed concept was experimentally v

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JB - Senzory, čidla, měření a regulace

OECD FORD obor

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Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

IEEE Transactions on Industrial Electronics

ISSN

0278-0046

e-ISSN

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Svazek periodika

61

Číslo periodika v rámci svazku

9

Stát vydavatele periodika

FR - Francouzská republika

Počet stran výsledku

9

Strana od-do

4903-4911

Kód UT WoS článku

000333467900047

EID výsledku v databázi Scopus

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