Identification of technogenic emergency situations in railway transport using cluster analysis
| dc.contributor.author | Savchuk, Т. О. | en |
| dc.contributor.author | Petrishyn, S. I. | en |
| dc.contributor.author | Sugurova, L. | en |
| dc.contributor.author | Smolarz, A. | en |
| dc.contributor.author | Савчук, Т. О. | uk |
| dc.contributor.author | Петришин, С. І. | uk |
| dc.date.accessioned | 2017-07-27T07:42:50Z | |
| dc.date.available | 2017-07-27T07:42:50Z | |
| dc.date.issued | 2014 | |
| dc.identifier.citation | Identification of technogenic emergency situations in railway transport using cluster analysis [Text] / T. O. Savchuk, S. I. Petrishyn, L. Sugurova, A. Smolarz // Journal Przeglad Electrotechnichny. - Warszawa, 2014. - № 11. - P. 177-184. | en |
| dc.identifier.issn | 0033-2097 | |
| dc.identifier.uri | http://ir.lib.vntu.edu.ua//handle/123456789/17942 | |
| dc.description.abstract | The antropogenic load on natural environment is continuously growing. One of important issues is the influence of transport of goods, especially when the cargo is hazardous. Railroad transport in Ukraine shares about 60% of all means of transport so identification of potential emergency situations in this area is an important issue. The article discusses some methodology approaches and describes cluster analysis as a tool for Identification of technogenic emergency situations in railway transport. | en |
| dc.language.iso | en | en |
| dc.publisher | Stowarzyszenie Polskich Inżynierów Elektryków i Elektroników | pl |
| dc.relation.ispartof | Journal Przeglad Electrotechnichny. № 11 : 177-184. | pl |
| dc.subject | cluster analysis | en |
| dc.subject | k-means algorithm | en |
| dc.subject | railway transport | en |
| dc.title | Identification of technogenic emergency situations in railway transport using cluster analysis | en |
| dc.type | Article |
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