Determining the reliability function of the thermal power system in power plant "Nikola Tesla, Block B1"
Representation of probabilistic technique for evaluation of thermal power system reliability is the main subject of this paper. The system of thermal power plant under study consists of three subsystems and the reliability assessment is based on a sixteen-year failure database. By applying...
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VINCA Institute of Nuclear Sciences
2015-01-01
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Online Access: | http://www.doiserbia.nb.rs/img/doi/0354-9836/2015/0354-98361400144K.pdf |
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doaj-006fafaa743847ecbb3b6d93d50e63622021-01-02T00:34:38ZengVINCA Institute of Nuclear SciencesThermal Science0354-98362334-71632015-01-0119379380010.2298/TSCI140610144K0354-98361400144KDetermining the reliability function of the thermal power system in power plant "Nikola Tesla, Block B1"Kalaba Dragan V.0Đorđević Milan Lj.1Kirin Snežana D.2Faculty of Technical Sciences, Kosovska MitrovicaFaculty of Technical Sciences, Kosovska MitrovicaFaculty of Mechanical Engineering, Innovation Center, BelgradeRepresentation of probabilistic technique for evaluation of thermal power system reliability is the main subject of this paper. The system of thermal power plant under study consists of three subsystems and the reliability assessment is based on a sixteen-year failure database. By applying the mathematical theory of reliability to exploitation research data and using complex two-parameter Weibull distribution, the theoretical reliability functions of specified system have been determined. Obtained probabilistic laws of failure occurrence have confirmed a hypothesis that the distribution of the observed random variable fully describes behaviour of such a system in terms of reliability. Shown results make possible to acquire a better knowledge of current state of the system, as well as a more accurate estimation of its behavior during future exploitation. Final benefit is opportunity for potential improvement of complex system maintenance policies aimed at the reduction of unexpected failure occurrences.http://www.doiserbia.nb.rs/img/doi/0354-9836/2015/0354-98361400144K.pdfThermal power systemreliabilityWeibull distribution |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Kalaba Dragan V. Đorđević Milan Lj. Kirin Snežana D. |
spellingShingle |
Kalaba Dragan V. Đorđević Milan Lj. Kirin Snežana D. Determining the reliability function of the thermal power system in power plant "Nikola Tesla, Block B1" Thermal Science Thermal power system reliability Weibull distribution |
author_facet |
Kalaba Dragan V. Đorđević Milan Lj. Kirin Snežana D. |
author_sort |
Kalaba Dragan V. |
title |
Determining the reliability function of the thermal power system in power plant "Nikola Tesla, Block B1" |
title_short |
Determining the reliability function of the thermal power system in power plant "Nikola Tesla, Block B1" |
title_full |
Determining the reliability function of the thermal power system in power plant "Nikola Tesla, Block B1" |
title_fullStr |
Determining the reliability function of the thermal power system in power plant "Nikola Tesla, Block B1" |
title_full_unstemmed |
Determining the reliability function of the thermal power system in power plant "Nikola Tesla, Block B1" |
title_sort |
determining the reliability function of the thermal power system in power plant "nikola tesla, block b1" |
publisher |
VINCA Institute of Nuclear Sciences |
series |
Thermal Science |
issn |
0354-9836 2334-7163 |
publishDate |
2015-01-01 |
description |
Representation of probabilistic technique for evaluation of thermal power
system reliability is the main subject of this paper. The system of thermal
power plant under study consists of three subsystems and the reliability
assessment is based on a sixteen-year failure database. By applying the
mathematical theory of reliability to exploitation research data and using
complex two-parameter Weibull distribution, the theoretical reliability
functions of specified system have been determined. Obtained probabilistic
laws of failure occurrence have confirmed a hypothesis that the distribution
of the observed random variable fully describes behaviour of such a system in
terms of reliability. Shown results make possible to acquire a better
knowledge of current state of the system, as well as a more accurate
estimation of its behavior during future exploitation. Final benefit is
opportunity for potential improvement of complex system maintenance policies
aimed at the reduction of unexpected failure occurrences. |
topic |
Thermal power system reliability Weibull distribution |
url |
http://www.doiserbia.nb.rs/img/doi/0354-9836/2015/0354-98361400144K.pdf |
work_keys_str_mv |
AT kalabadraganv determiningthereliabilityfunctionofthethermalpowersysteminpowerplantnikolateslablockb1 AT đorđevicmilanlj determiningthereliabilityfunctionofthethermalpowersysteminpowerplantnikolateslablockb1 AT kirinsnezanad determiningthereliabilityfunctionofthethermalpowersysteminpowerplantnikolateslablockb1 |
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