| Intelligent fault diagnosis of rotary machinery by convolutional neural network with automatic hyper-parameters tuning using bayesian optimization D Kolar, D Lisjak, M Pająk, M Gudlin Sensors 21 (7), 2411, 2021 | 59 | 2021 |
| Fault diagnosis of rotary machines using deep convolutional neural network with wide three axis vibration signal input D Kolar, D Lisjak, M Pająk, D Pavković Sensors 20 (14), 4017, 2020 | 54 | 2020 |
| Identification of reliability states of a ship engine of the type Sulzer 6AL20/24 M Pająk, L Muślewski, M Kluczyk, D Kolar, B Landowski, T Kałaczyński SAE International Journal of Engines 15 (4), 527-542, 2022 | 9 | 2022 |
| Automation systems design and laboratory prototyping aimed at mature petroleum drilling rig retrofitting P Šprljan, M Cipek, M Klaić, T Staroveški, D Kolar Tehnički vjesnik 27 (1), 229-236, 2020 | 8 | 2020 |
| Improvement of Failure Mode and Effects Analysis Using Fuzzy and Adaptive Neuro-Fuzzy Inference System J Ivančan, D Lisjak, D Pavletić, D Kolar Machines 11 (7), 739, 2023 | 6 | 2023 |
| Green supply chain management in Croatian companies T Opetuk, G Dukic, H Cajner, D Kolar Tehnički glasnik 12 (4), 211-220, 2018 | 6 | 2018 |
| Condition monitoring of rotary machinery using industrial IOT framework: Step to smart maintenance D Kolar, D Lisjak, M Curman, M Pająk Tehnički glasnik 16 (3), 343-352, 2022 | 5 | 2022 |
| Analysis of the use of fatty acid methyl esters as an additive to diesel fuel for internal combustion engines Ł Muślewski, M Markiewicz, M Pająk, T Kałaczyński, D Kolar Energies 14 (21), 7057, 2021 | 5 | 2021 |
| New reliability-based model of stock optimisation for railroad passenger wagon maintenance V Milković, D Lisjak, D Kolar FME Transactions 48 (4), 914-921, 2020 | 5 | 2020 |
| Identification of inability states of rotating subsystems of vehicles and machines M Pająk, D Lisjak, D Kolar Journal of KONES 26 (1), 111-118, 2019 | 5 | 2019 |
| Ship Diesel Engine Fault Diagnosis Using Data Science and Machine Learning M Pająk, M Kluczyk, Ł Muślewski, D Lisjak, D Kolar Electronics 12 (18), 3860, 2023 | 4 | 2023 |
| Rotating shaft fault prediction using convolutional neural network: a preliminary study D Kolar, D Lisjak, M Pająk Journal of KONES 26 (3), 75-81, 2019 | 4 | 2019 |
| Metrics related to confusion matrix as tools for conformity assessment decisions D Božić, B Runje, D Lisjak, D Kolar Applied Sciences 13 (14), 8187, 2023 | 3 | 2023 |
| Automated and Controlled Data Collection Using Industrial IoT System for Smart Maintenance M Curman, D Kolar, D Lisjak, T Opetuk Tehnički glasnik 15 (3), 401-409, 2021 | 3 | 2021 |
| Identification of inability states of rotating machinery subsystems using industrial IoT and convolutional neural network–initial research D Kolar, D Lisjak, M Curman, J Benic Tehnički glasnik 17 (2), 279-285, 2023 | 2 | 2023 |
| Selected diagnostic methods used in Hydroelectric Power Plants E Golonka, M Pająk, D Kolar MATEC Web of Conferences 332, 01011, 2021 | 2 | 2021 |
| Detailed experimental comparison of energy efficiency between proportional and direct driven hydraulic system J Benić, D Brezak, Ž Šitum, D Kolar, D Lisjak Results in Engineering 18, 101178, 2023 | 1 | 2023 |
| PI/PID Controller relay experiment auto-tuning with extended Kalman filter and second-order generalized integrator as parameter estimators D Pavković, D Lisjak, D Kolar, M Cipek Tehnički vjesnik 30 (3), 715-723, 2023 | 1 | 2023 |
| Atomic force microscopy: step height measurement uncertainty evaluation A Razumić, B Runje, D Lisjak, D Kolar, A Horvatić Novak, B Štrbac, ... International Conference MATRIB 2023-Materials, Tribology & Recycling, 316-328, 2023 | 1 | 2023 |
| Ship Diesel Engine Fault Diagnosis Using Data Science and SVM Classifier M Pająk, M Kluczyk, Ł Muślewski, D Lisjak, D Kolar International Congress on Technical Diagnostics, 1-12, 2022 | 1 | 2022 |
