Centralized Bayesian reliability modelling with sensor networks
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F13%3A10172757" target="_blank" >RIV/00216208:11320/13:10172757 - isvavai.cz</a>
Alternative codes found
RIV/67985556:_____/13:00392551 RIV/48361143:_____/13:#0000016
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Centralized Bayesian reliability modelling with sensor networks
Original language description
The article concerns reliability estimation in modern dynamic systems. It introduces a novel approach, exploiting a network of several independent spatially distributed sensors, actively probing the monitored system. A dedicated network element - the fusion centre - is then responsible for processing the information provided by sensors and evaluation of final reliability estimate. On the base of computational abilities of sensors, we propose two conceptually different reliability estimation scenarios: (1) the computationally cheaper dummy sensors scenario, in which the sensors send raw data to the fusion centre; and (2) the smart sensors scenario, when the data are processed locally by sensors, and the fusion centre subsequently merges their resultinginformation. Bayesian paradigm was adopted for consistent information representation, its adaptive dynamic processing and fusion.
Czech name
—
Czech description
—
Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
BD - Information theory
OECD FORD branch
—
Result continuities
Project
<a href="/en/project/7D12004" target="_blank" >7D12004: Probabilistic distributed industrial system monitor</a><br>
Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mathematical and Computer Modelling of Dynamical Systems
ISSN
1387-3954
e-ISSN
—
Volume of the periodical
19
Issue of the periodical within the volume
5
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
471-482
UT code for WoS article
—
EID of the result in the Scopus database
—