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

Clicks: 451
ID: 49335
2015
Free PDF
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Steady

Ranked #3 of 14 articles by views in thermal science

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Sign in to mint
Abstract
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.
Reference Key
v2015determiningthermal Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors V., Kalaba Dragan;Lj., Đorđević Milan;D., Kirin Snežana;
Journal thermal science
Year 2015
DOI
DOI not found
URL
http://www.doiserbia.nb.rs/img/doi/0354-9836/2015/0354-98361400144K.pdf
Keywords
Electrical engineering. Electronics. Nuclear engineering Mechanical engineering and machinery environmental sciences psychology business public aspects of medicine history of scholarship and learning. the humanities education (general) language and literature oceanography law

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

Comments

No comments yet. Be the first to comment on this article.