Keyword machine learning
RESEARCH PAPER
Improving Electric Vehicle Maintenance by Advanced Prediction of Failure Modes Using Machine Learning Classifications
Using an LSTM network to monitor industrial reactors using electrical capacitance and impedance tomography – a hybrid approach
Grzegorz Kłosowski, Tomasz Rymarczyk, Konrad Niderla, Monika Kulisz, Łukasz Skowron, Manuchehr Soleimani
Eksploatacja i Niezawodność – Maintenance and Reliability 2023;25(1):11
An attempt at applying machine learning in diagnosing marine ship engine turbochargers
Eksploatacja i Niezawodność – Maintenance and Reliability 2022;24(4):795-804
RESEARCH PAPER
Useful energy prediction model of a Lithium-ion cell operating on various duty cycles
Eksploatacja i Niezawodność – Maintenance and Reliability 2022;24(2):317-329
RESEARCH PAPER
A comprehensive study on the application of firefly algorithm in prediction of energy dissipation on block ramps
Eksploatacja i Niezawodność – Maintenance and Reliability 2022;24(2):200-210
RESEARCH PAPER
Application of machine learning and rough set theory in lean maintenance decision support system development
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(4):695-708
RESEARCH PAPER
Predictive modelling of turbofan engine components condition using machine and deep learning methods
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(2):359-370
RESEARCH PAPER
Degradation assessment of bearing based on machine learning classification matrix
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(2):395-404
RESEARCH PAPER
Gearbox faults feature selection and severity classification using machine learning
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(4):748-756
RESEARCH PAPER
A novel test case prioritization method based on problems of numerical software code statement defect prediction
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):419-431
RESEARCH PAPER
Industrial gas turbine operating parameters monitoring and data-driven prediction
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(3):391-399
RESEARCH PAPER
Engine valve clearance diagnostics based on vibration signals and machine learning methods
Eksploatacja i Niezawodność – Maintenance and Reliability 2020;22(2):331-339
RESEARCH PAPER
Innovative methods of neural reconstruction for tomographic images in maintenance of tank industrial reactors
Eksploatacja i Niezawodność – Maintenance and Reliability 2019;21(2):261-267
| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
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