| Data-driven framework for boiler performance monitoring RP Nikula, M Ruusunen, K Leiviskä Applied energy 183, 1374-1388, 2016 | 54 | 2016 |
| Automation of low-speed bearing fault diagnosis based on autocorrelation of time domain features RP Nikula, K Karioja, M Pylvänäinen, K Leiviskä Mechanical Systems and Signal Processing 138, 106572, 2020 | 52 | 2020 |
| Towards online adaptation of digital twins RP Nikula, M Paavola, M Ruusunen, J Keski-Rahkonen Open Engineering 10 (1), 776-783, 2020 | 16 | 2020 |
| Prediction of mechanical stress in roller leveler based on vibration measurements and steel strip properties RP Nikula, K Karioja, K Leiviskä, E Juuso Journal of Intelligent Manufacturing 30, 1563-1579, 2019 | 8 | 2019 |
| Probabilistic condition monitoring of azimuth thrusters based on acceleration measurements RP Nikula, M Ruusunen, J Keski-Rahkonen, L Saarinen, F Fagerholm Machines 9 (2), 39, 2021 | 5 | 2021 |
| Vibration measurements and signal processing in stress monitoring of a steel leveller K Karioja, RP Nikula, T Liedes Maintenance, Condition Monitoring and Diagnostics & Maintenance Performance …, 2015 | 5 | 2015 |
| Comparison of control limit generation approaches in desulphurization plant monitoring RP Nikula, A Laari, E Juuso 52nd International Conference of Scandinavian Simulation Society, SIMS 2011 …, 2011 | 4 | 2011 |
| Whitening CNN-based rotor system fault diagnosis model features J Miettinen, RP Nikula, J Keski-Rahkonen, F Fagerholm, T Tiainen, ... Applied Sciences 12 (9), 4411, 2022 | 3 | 2022 |
| The Effect of Steel Leveler Parameters on Vibration Features RP Nikula, K Karioja Proceedings of The 9th EUROSIM Congress on Modelling and Simulation, EUROSIM …, 2018 | 3 | 2018 |
| Desulphurization plant monitoring and fault detection using principal component analysis RP Nikula, E Juuso, K Leiviskä 2013 8th EUROSIM Congress on Modelling and Simulation, 490-495, 2013 | 3 | 2013 |
| Input variable selection in modelling of desulphurization efficiency RP Nikula, E Juuso, K Leiviskä SIMS 2012 : The 53rd Scandinavian conference on simulation and modeling, 4-6 …, 2012 | 3 | 2012 |
| A wireless approach to water supply pump diagnosis M Paavola, RP Nikula, K Leiviska The Sixth International Conference on Condition Monitoring and Machinery …, 2009 | 3 | 2009 |
| Modelling of Material Properties Using Frequency Domain Information from Barkhausen Noise Signal RP Nikula, A Sorsa, S Santa-aho, M Vippola, K Leiviskä IFAC-PapersOnLine 48 (17), 201-206, 2015 | 2 | 2015 |
| Epicyclic gearbox monitoring in a hydroelectric power plant with varying load RP Nikula, K Leiviskä, K Karioja 12th International Conference on Condition Monitoring and Machinery Failure …, 2015 | 2 | 2015 |
| Key variable based detection of sensor faults in a power plant case RP Nikula, V Laukkanen, E Juuso, K Leiviskä IFAC Proceedings Volumes 45 (2), 968-973, 2012 | 2 | 2012 |
| Roller leveler monitoring using acceleration measurements and models for steel strip properties RP Nikula, K Leiviskä Machines 8 (3), 43, 2020 | 1 | 2020 |
| Roller bearing fault detection using real order derivatives and cyclostationarity K Karioja, RP Nikula, C Niedringhaus, C Küch, R Baltes 13th International Conference on Condition Monitoring and Machinery Failure …, 2016 | 1 | 2016 |
| An identification tool for uncertainty estimation of process measurements RP Nikula, E Juuso, K Leiviskä Proceedings of Automaatio XX-seminaari, Automation and Systems without …, 2013 | 1 | 2013 |
| Offset-free model predictive control using Koopman-Wiener models K Tiiro K. Tiiro, 2023 | | 2023 |
| Automated methods for vibration-based condition monitoring of rotating machines RP Nikula University of Oulu, 2022 | | 2022 |
