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3/2020 vol. 22
 
 
RESEARCH PAPER
 

Degradation modeling method for rotary lip seal based on failure mechanism analysis and stochastic process
Di Liu, Shaoping Wang, Mileta M. Tomovic
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):381–390
DOI: https://doi.org/10.17531/ein.2020.3.1
 
RESEARCH PAPER
 

Industrial gas turbine operating parameters monitoring and data-driven prediction
Maciej Pawełczyk, Szymon Fulara, Marzia Sepe, Alessandro De Luca, Maciej Badora
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):391–399
DOI: https://doi.org/10.17531/ein.2020.3.2
 
RESEARCH PAPER
 

An artificial neural network model supported with multi criteria decision making approaches for maintenance planning in hydroelectric power plants
Evrencan Özcan, Tuğba Danışan, Rabia Yumuşak, Tamer Eren
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):400–418
DOI: https://doi.org/10.17531/ein.2020.3.3
 
RESEARCH PAPER
 

A novel test case prioritization method based on problems of numerical software code statement defect prediction
Yuanxun Shao, Bin Liu, Shihai Wang, Peng Xiao
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):419–431
DOI: https://doi.org/10.17531/ein.2020.3.4
 
RESEARCH PAPER
 

Investigation of wear resistance of selected materials after slide burnishing process
Andrzej Dzierwa, Lidia Gałda, Mirosław Tupaj, Kazimiera Dudek
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):432–439
DOI: https://doi.org/10.17531/ein.2020.3.5
 
RESEARCH PAPER
 

Predicting motor oil condition using artificial neural networks and principal component analysis
Joao Rodrigues, Ines Costa, J. Torres Farinha, Mateus Mendes, Luis Margalho
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):440–448
DOI: https://doi.org/10.17531/ein.2020.3.6
 
RESEARCH PAPER
 

Electric current as a source of information about control parameters of indirect injection fuel injector
Krzysztof Więcławski, Jędrzej Mączak, Krzysztof Szczurowski
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):449–454
DOI: https://doi.org/10.17531/ein.2020.3.7
 
RESEARCH PAPER
 

Maintenance policy for oil-lubricated systems with oil analysis data
Shufa Yan, Biao Ma, Xu Wang, Jianhua Chen, Changsong Zheng
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):455–464
DOI: https://doi.org/10.17531/ein.2020.3.8
 
RESEARCH PAPER
 

Evaluation of performance characteristics of the environmentally friendly cutting fluid with zinc aspartate
Joanna Kowalczyk, Monika Madej, Dariusz Ozimina
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):465–471
DOI: https://doi.org/10.17531/ein.2020.3.9
 
RESEARCH PAPER
 

Analysis of tensile properties of worn fabric conveyor belts with renovated cover and with the different carcass type
Miriam Andrejiova, Anna Grincova, Daniela Marasova
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):472–481
DOI: https://doi.org/10.17531/ein.2020.3.10
 
RESEARCH PAPER
 

Fault-tolerant design for increasing the reliability of an autonomous driving gear shifting system
Ralf Stetter, Richy Göser, Sebastian Gresser, Markus Till, Marcin Witczak
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):482–492
DOI: https://doi.org/10.17531/ein.2020.3.11
 
RESEARCH PAPER
 

Maintenance of heavy trucks: an international study on truck drivers
Sebastjan Škerlič, Edgar Sokolovskij, Vanja Erčulj
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):493–500
DOI: https://doi.org/10.17531/ein.2020.3.12
 
RESEARCH PAPER
 

Modeling of vibroacoustic phenomena using the method of parameterizing the audio signal
Waldemar Paszkowski
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):501–507
DOI: https://doi.org/10.17531/ein.2020.3.13
 
RESEARCH PAPER
 

Imprecise sensitivity analysis of system reliability based on the Bayesian network and probability box
He Liang, Jinhua Mi, Libing Bai, Yuhua Cheng
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):508–519
DOI: https://doi.org/10.17531/ein.2020.3.14
 
RESEARCH PAPER
 

Similarity-based failure threshold determination for system residual life prediction
Biao Ma, Shufa Yan, Xu Wang, Jianhua Chen, Changsong Zheng
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):520–529
DOI: https://doi.org/10.17531/ein.2020.3.15
 
RESEARCH PAPER
 

The method of determining PEMFC fuel cell stack performance decrease rate based on the voltage-current charact eristic shift
Bartosz Ceran, Agata Orłowska, Krystian Krochmalny
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):530–535
DOI: https://doi.org/10.17531/ein.2020.3.16
 
RESEARCH PAPER
 

Analysis of ore flow through longitudinal belt conveyor transfer point
Piotr Walker, Błażej Doroszuk, Robert Król
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):536–543
DOI: https://doi.org/10.17531/ein.2020.3.17
 
RESEARCH PAPER
 

Worm gear condition monitoring and fault detection from thermal images via deep learning method
Yunus Emre Karabacak, Nurhan Gürsel Özmen, Levent Gümüşel
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):544–556
DOI: https://doi.org/10.17531/ein.2020.3.18
 
RESEARCH PAPER
 

Method for estimating the durability of aviation hydraulic drives
Leszek Ułanowicz, Grzegorz Jastrzębski, Paweł Szczepaniak
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):557–564
DOI: https://doi.org/10.17531/ein.2020.3.19
 
RESEARCH PAPER
 

Upper-bound estimation of load-carrying capacity of perforated cold-formed thin-walled steel lipped channel columns under compression loading
Maria Kotelko, Martin Macdonald, Muditha P. Kulatunga, Zuzanna Marszalek
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):565–573
DOI: https://doi.org/10.17531/ein.2020.3.20
 
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eISSN:2956-3860
ISSN:1507-2711
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