University of Defence in Brno, Czech Republic
First Online (1)
Artykuły z 2025 (1)
1. Application of neural networks specific forms for estimation of crushing signal parameters of multilevel structural absorbers implemented in passive safety research / Jakub Gajewski, Michał Rogala, David Vališ // Measurement.- 2025, vol. 242, nr Pt A, s. 1-18 [MNiSW: 200]
Artykuły z 2022 (2)
1. An approach in determining the critical level of degradation based on results of accelerated test / Anh D. Hoang, Zdeněk Vintr, David Vališ, Dariusz Mazurkiewicz // Eksploatacja i Niezawodność-Maintenance and Reliability.- 2022, vol. 24, nr 2, s. 330-337 [MNiSW: 140]
2. Drilling head knives degradation modelling based on stochastic diffusion processes backed up by state space models / David Vališ, Jakub Gajewski, Marie Forbelská, Zdeněk Vintr, Józef Jonak // Mechanical Systems and Signal Processing.- 2022, vol. 166, s. 1-21 [MNiSW: 200]
Artykuły z 2021 (1)
1. Verification of the technical equipment degradation method using a hybrid reinforcement learning trees–artificial neural network system / Jakub Gajewski, David Vališ // Tribology International.- 2021, vol. 153, s. 1-11 [MNiSW: 200]
Artykuły z 2020 (1)
1. Degradation process and failure estimation of drilling system based on real data and diffusion process supported by state space models / David Vališ, Marie Forbelská, Zdeněk Vintr, Jakub Gajewski // Measurement.- 2020, vol. 164, s. 1-22 [MNiSW: 200]
Artykuły z 2019 (3)
1. Estimation of critical force of the buckling composite structures using modelling methods / Karol Szklarek, Jakub Gajewski, David Vališ // MATEC Web of Conferences.- 2019, vol. 252, s. 1-6 [MNiSW: 5]
2. Potential for using the ANN-FIS meta-model approach to assess levels of particulate contamination in oil used in mechanical systems / David Vališ, Jakub Gajewski, Libor Žák // Tribology International.- 2019, vol. 135, s. 324-334 [MNiSW: 200]
3. The use of kernel density estimates for classification of ripping tool wear / Kamila Hasilová, Jakub Gajewski // Tunnelling and Underground Space Technology.- 2019, vol. 88, s. 29-34 [MNiSW: 140]
Artykuły z 2018 (1)
1. Application of selected Levy processes for degradation modelling of long range mine belt using real-time data / David Vališ, Dariusz Mazurkiewicz // Archives of Civil and Mechanical Engineering.- 2018, vol. 18, nr 4, s. 1430-1440 [MNiSW: 30]
Artykuły z 2017 (1)
1. The determination of combustion engine condition and reliability using oil analysis by MLP and RBF neural networks / Jakub Gajewski, David Vališ // Tribology International.- 2017, vol. 115, s. 557-572 [MNiSW: 35]
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