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Data Mining and Statistics Methods for Advanced Training Course Quality Measurement: Case Study Cover

Data Mining and Statistics Methods for Advanced Training Course Quality Measurement: Case Study

Open Access
|Apr 2015

Abstract

Advanced training courses in the energetics field is a very important part of human reliability growth. In the words of S.E. Magid, chief of Technical Educational systems in Energy Technologies, UNESCO department: “The number of forced outages due to failures of equipment on the power stations -30 %. The share of operational personnel fault in these infringements makes considerable size (to 15%). As a whole in the Russian Open Society ‘United Power Systems’ the infringements percentage because of the personnel from infringements total makes 2%. At the same time, on power stations this quantity makes 18%. In power supply systems of Siberia the relative quantity of infringements because of the personnel reaches 50%.” [1].

DOI: https://doi.org/10.1515/fman-2015-0017 | Journal eISSN: 2300-5661 | Journal ISSN: 2080-7279
Language: English
Page range: 47 - 56
Published on: Apr 23, 2015
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2015 Maxim Galchenko, Alexander Gushchinsky, Waldemar Izdebski, Jacek Skudlarski, published by Warsaw University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.