MATEC Web Conf.
Volume 141, 2017The Fifth International Youth Forum “Smart Grids 2017”
|Number of page(s)||4|
|Published online||12 December 2017|
Survival analysis of A.C. machines in the diamond industry using the Kaplan-Meier estimator
National Research Tomsk Polytechnic University, 634050 Tomsk, Russia
* Corresponding author: firstname.lastname@example.org
The article deals with the survival analysis of a.c. machines operating under the conditions of the underground mine “Mir” (Yakutia). The estimation of their survival is carried out using the Kaplan-Meier estimator. The main advantage of this method is in the opportunity to process censored (incomplete) data, which in turn leads to the accuracy of results. The statistical data used in this article were obtained from maintenance books and reports made by a repair team working in the considered mine. This analysis allows not only identifying faulty electric machines and their fault-free operation but also the faulty components of a certain electric motor.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.