Výsledky vyhledávání - "Lisjak Dragutin"

Akademický článek

New reliability-based model of stock optimisation for railroad passenger wagon maintenance

Autor: Milković Vili, Lisjak Dragutin, Kolar Davor

Publikováno v: FME Transactions, Vol 48, Iss 4, Pp 914-921 (2020)

Today's railroad passenger wagons experience a large frequency of failures due to a large number of usage hours, and consequently planning maintenance is complex and expensive. Due to high maintenance costs, special attention should be given to the p

Externí odkaz: https://doaj.org/article/7093509adab54c05b22b15f680bc3426

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Akademický článek

Analysis of the sensitivity of the identification method of inability states of rotating systems to the conditions of the experiment

Autor: Pająk Michał, Lisjak Dragutin, Kluczyk Marcin, Kolar Davor

Publikováno v: MATEC Web of Conferences, Vol 332, p 01016 (2021)

One of the most important subsystems of the vehicles and machines operating currently in industry and transportation are the rotating subsystems. Monitoring of its technical state is an important issue of the engineering and academic research. As a r

Externí odkaz: https://doaj.org/article/b75d4ce947ff46628cf950db0da159a4

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Akademický článek

Comparative analysis of selected freight means in the aspect of EMS sets implementation

Autor: Dzioba Anna, Muślewski Łukasz, Gutsche Jan, Lisjak Dragutin, Sójka Michał

Publikováno v: MATEC Web of Conferences, Vol 338, p 01007 (2021)

The Three Seas Initiative, which gathers 12 European countries located from the Baltic Sea, the Adriatic Sea to the Black Sea, is both an opportunity and a challenge for the countries of Central and Eastern Europe. The concept has primarily a regiona

Externí odkaz: https://doaj.org/article/943b79566c244eb2ab2691b0f09fbf8c

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Report

Fault Diagnosis of Rotary Machines using Deep Convolutional Neural Network with three axis signal input

Autor: Kolar, Davor, Lisjak, Dragutin, Pajak, Michal, Pavkovic, Danijel

Recent trends focusing on Industry 4.0 concept and smart manufacturing arise a data-driven fault diagnosis as key topic in condition-based maintenance. Fault diagnosis is considered as an essential task in rotary machinery since possibility of an ear

Externí odkaz: http://arxiv.org/abs/1906.02444