Determining the theoretical reliability function of thermal power system using simple and complex Weibull distribution

Kalaba, Dragan; Radaković, Zoran; Djordjević, Milan; Kirin, Snežana

doi:10.2298/tsci120611168k

Cited by 4 publications

(1 citation statement)

References 6 publications

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“…The combining modified Weibull distribution model is proposed for the forecast of the power system reliability [7]. Based on simple and complex Weibull distributions, a hypothesis of the power system reliability has been confirmed [8]. In [9] the uppertruncated Weibull distribution has been used both for modeling the wind speed data and estimating the wind power density.…”

Section: Introductionmentioning

confidence: 99%

On the fractional weibull process

Deng

Song²,

Cattani³

et al. 2022

Front. Phys.

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Engineering applications of the fractional Weibull distribution (fWd) are quite limited because a corresponding stochastic process is not yet constituted and completely analyzed of fundamental properties. In order to fill this gap, the fractional Weibull process (fWp) is defined in this paper with the realization algorithm. The self-similarity property as well as long range dependence (LRD) are proven for the future research. The simulation is conducted by the actual data. The fWd is utilized to fit the actual probability distribution and the corresponding process is generated to reflect the stochasticity of the data. The random walk based on the fWp expands the simulation to the planar space.

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Section: Introductionmentioning

confidence: 99%

On the fractional weibull process

Deng

Song²,

Cattani³

et al. 2022

Front. Phys.

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Determining the reliability function of the thermal power system in power plant "Nikola Tesla, Block B1"

Kalaba

Lj.

Kirin³

2015

THERM SCI

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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.

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The numerical and experimental study of two passes power plant condenser

2017

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The steam condenser is one of the most important element in whole power plant installation. Their proper design and operation makes a significant contribution to the efficiency of electricity production. The purpose of this article is to propose a two-dimensional mathematical model that allows modeling condenser work. In the model, the tube bundle is treated as a porous bed. The analysis has been subjected to a two passes power condenser with a capacity of 50 MW. The mathematical analysis was compared with the results of experimental studies. The average error between the model and the experiment for difference of cooling water temperatures was 5.15% and 11.60% for the first and second pass respectively. This allows to conclude that the proposed model is good enough to optimize future work of the condenser.

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Determining the theoretical reliability function of thermal power system using simple and complex Weibull distribution

Cited by 4 publications

References 6 publications

On the fractional weibull process

On the fractional weibull process

Determining the reliability function of the thermal power system in power plant "Nikola Tesla, Block B1"

The numerical and experimental study of two passes power plant condenser

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