Keyword machine learning
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
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