A Distributed Fault Detection System based on IWSN for Machine Condition Monitoring
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F14%3A00208770" target="_blank" >RIV/68407700:21230/14:00208770 - isvavai.cz</a>
Result on the web
<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6661382" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6661382</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TII.2013.2290432" target="_blank" >10.1109/TII.2013.2290432</a>
Alternative languages
Result language
angličtina
Original language name
A Distributed Fault Detection System based on IWSN for Machine Condition Monitoring
Original language description
This paper introduces a novel framework for Industrial Wireless Sensor Networks used for Machine Condition Monitoring. Our approach enables the use of state-of-the-art computationally intensive classifiers in computationally weak sensor network nodes. The key idea is to split data acquisition, classifier building and training, and the operation phase, between different units. Computationally demanding processing is carried out in the central unit, while other tasks are distributed to the sensor nodes using over-the-air programming. The system is autonomously trained on the healthy state of a machine, and then monitors a change in behavior which indicates a faulty state. Thanks to one-class classification, there is no need to introduce the faulty stateof the machine in the training phase. We extend the diagnostic capability of the system using dynamic changes in the data acquisition and classification parts of the program in the sensor nodes. This enables the system to react to ambiguo
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JA - Electronics and optoelectronics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Industrial Informatics, IEEE Transactions on
ISSN
1551-3203
e-ISSN
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Volume of the periodical
10
Issue of the periodical within the volume
2
Country of publishing house
US - UNITED STATES
Number of pages
6
Pages from-to
1118-1123
UT code for WoS article
000336669800026
EID of the result in the Scopus database
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