Journals

W. Pawlus, J.T. Birkeland, H.V. Khang, and M.R. Hansen.Identification and experimental validation of induction motor thermal model for improved drivetrain designIEEE Transactions on Industry Applications, vol.53, no.5, pp.42884297, 2017.

D. Hagen, W. Pawlus, M.K. Ebbesen and T.O. Andersen.Feasibility study of electromechanical cylinder drivetrain for offshore mechatronic systemsModeling, Identification and Control, vol.38, no.2, pp.5977, 2017.

W. Pawlus, H.V. Khang, and M.R. Hansen.Temperature rise estimation of induction motor drives based on loadability curves to facilitate design of electric powertrainsIEEE Transactions on Industrial Informatics, vol.13, no.3, pp.985994, 2016.

W. Pawlus, F. Liland, N. Nilsen, S. Øydna, G. Hovland, and T.K. Wroldsen.Modeling and simulation of a cylinder hoisting system for realtime hardwareintheloop testingSPE Drilling and Completion, vol.32, no.1, pp.110, 2016.

W. Pawlus, M.R. Hansen, M. Choux, and G. Hovland.Mitigation of fatigue damage and vibration severity of electric drivetrains by systematic selection of motion profilesIEEE/ASME Transactions on Mechatronics, vol.21, no.6, pp.28702880, 2016.

W. Pawlus, M. Choux, and M.R. Hansen.Hydraulic vs. electric: A review of actuation systems in offshore drilling equipmentModeling, Identification and Control, vol.37, no.1, pp.117, 2016.

W. Pawlus, M. Choux, M.R. Hansen, and G. Hovland.Load lorque estimation method to design electric drivetrains for offshore pipe handling equipmentASME Journal of Offshore Mechanics and Arctic Engineering, vol.138, no.4, pp.041301:19, 2016.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrInvestigation of vehicle crash modeling techniques: theory and applicationInternational Journal of Advanced Manufacturing Technology, vol.70, no.58, pp.965993, 2014.

L. Zhao, W. Pawlus, H.R. Karimi, and K.G. RobbersmyrDatabased modeling of vehicle crash using Adaptive NeuralFuzzy Inference SystemIEEE/ASME Transactions on Mechatronics, vol.19, no.2, pp.684696, 2014.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrDatabased modeling of vehicle collisions by nonlinear autoregressive model and feedforward neural networkInformation Sciences, vol.235, pp.6579, 2013.

W. Pawlus and H.R. KarimiA comparative study of phenomenological models of MR brake based on neural networks approachInternational Journal of Wavelets, Multiresolution and Information Processing, vol.11, no.1, pp.1350009:130, 2013.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrA fuzzy logic approach to modeling a vehicle crash testCentral European Journal of Engineering, vol.3, no.1, pp.6779, 2013.

W. Pawlus and H.R. KarimiModeling and control of an autonomous mobile robotInternational Journal of Control Theory and Applications, vol.4, no.2, pp.125154, 2012.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrWaveletbased estimation of modal parameters of a vehicle involved in a fullscale impactInternational Journal of Wavelets, Multiresolution and Information Processing, vol.10, no.6, pp.1250057:129, 2012.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrReconstruction and simulation of the vehicle to road safety barrier oblique collision based on the LevenbergMarquardt algorithmInternational Journal of Crashworthiness, vol.17, no.6, pp.676692, 2012.

H.R. Karimi, W. Pawlus, and K.G. RobbersmyrSignal reconstruction, modeling and simulation of a vehicle fullscale crash test based on Morlet waveletsNeurocomputing, vol.93, pp.8899, 2012.

H.R. Karimi, W. Pawlus, and K.G. RobbersmyrA review paper on vehicle crash and road safety manufacturingInternational Journal of Materials Engineering and Technology, vol.7, no.2, pp.93125, 2012.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrAhead prediction of kinematics of vehicles under various collision circumstances by application of ARMAX autoregressive modelWSEAS Transactions on Applied and Theoretical Mechanics, vol.6, no.2, pp.8089, 2011.

W. Pawlus, K.G. Robbersmyr, and H.R. KarimiMathematical modeling and parameters estimation of a car crash using databased regressive model approachApplied Mathematical Modeling, vol.35, no.10, pp.50915107, 2011.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrIdentification of a vehicle fullscale crash viscoelastic system by recursive autoregressive moving average modelsInternational Journal of Control Theory and Applications, vol.4, no.1, pp.1124, 2011.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrDevelopment of lumpedparameter mathematical models for a vehicle localized impactJournal of Mechanical Science and Technology, vol.25, no.7, pp.17371747, 2011.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrEffects of different springmass model elastoplastic unloading scenarios on the vehicle crash model fidelityICIC Express Letters, Part B: Applications, vol.2, no.4, pp.757764, 2011.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrApplication of viscoelastic hybrid models to vehicle crash simulationInternational Journal of Crashworthiness, vol.16, no.2, pp.195205, 2011.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrMathematical modeling of a vehicle crash test based on elastoplastic unloading scenarios of springmass modelsInternational Journal of Advanced Manufacturing Technology, vol.55, no.14, pp.369378, 2011.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrAnalysis of vehicle to pole collision models: analytical methods and neural networksInternational Journal of Control Theory and Applications, vol.3, no.2, pp.5777, 2010.

W. Pawlus, J.E. Nielsen, H.R. Karimi, and K.G. RobbersmyrDevelopment of mathematical models for analysis of a vehicle crashWSEAS Transactions on Applied and Theoretical Mechanics, vol.5, no.2, pp.156165, 2010.
Conferences

A. Migalska and W. Pawlus.Supply chain optimization to mitigate electronic components shortage in manufacturing of telecommunications network equipmentProceedings of the 29th IEEE International Symposium on Industrial Electronics, pp.474479, 2020.

A.B. Husebø, H.V. Khang, and W. Pawlus.Diagnosis of incipient bearing faults using Convolutional Neural NetworksProceedings of the 4th IEEE Workshop on Electrical Machines Design, Control and Diagnosis, pp.143149, 2019.

H.V. Khang, S. Kandukuri, W. Pawlus, and K.G. Robbersmyr.Parameter identification of a winding function based model for fault detection of induction machinesProceedings of the 8th IEEE International Conference on Information Science and Technology, pp.200205, 2018.

H.V. Khang, W. Pawlus, and K.G. Robbersmyr.Investigation and reduction of losses on inverterfed induction motorsProceedings of the 19th European Conference on Power Electronics and Applications, pp.19, 2017.

S.S. Tørdal, W. Pawlus, and G. Hovland.Realtime 6DOF vesseltovessel motion compensation using laser trackerProceedings of the MTS/IEEE OCEANS Conference, pp.19, 2017.

H.V. Khang, W. Pawlus, and K.G. Robbersmyr.Identification of parameters and harmonic losses of a deepbar induction motorProceedings of the 7th IEEE International Conference on Information Science and Technology, pp.194199, 2017.

W. Pawlus, H.V. Khang, and M.R. Hansen.Identification of induction motor thermal model for improved drivetrain designProceedings of the 22nd IEEE International Conference on Electrical Machines, pp.17781784, 2016.

W. Pawlus, S.T. Kandukuri, G. Hovland, M. Choux, and M.R. Hansen.EKFbased estimation and control of electric drivetrain in offshore pipe racking machineProceedings of the 17th IEEE International Conference on Industrial Technology, pp.153158, 2016.

W. Pawlus, D. Frick, M. Morari, G. Hovland, and M. Choux.Drivetrain design optimization for electrically actuated systems via Mixed Integer ProgramingProceedings of the 41st Annual Conference of the IEEE Industrial Electronics Society, pp.14651470, 2015.

W. Pawlus, I.C. Inouva, S. Øydna, T.K. Wroldsen and G. Hovland.Next generation hardwareintheloop simulation enables advanced testing of offshore hydraulic systemsProceedings of the IADC Advanced Rig Technology Conference and Exhibition, pp.17, 2015.

W. Pawlus, M.K. Ebbesen, M.R. Hansen, M. Choux, and G. Hovland.Comparative analysis of numerical models of pipe handling equipment used in offshore drilling applicationsProceedings of the 13th International Conference of Numerical Analysis and Applied Mathematics, 2015.

W. Pawlus, M.R. Hansen, G. Hovland, and M. Choux.Torque peak reduction and overload monitoring of induction motors in offshore drilling operationsProceedings of the IEEE ACEMPOPTIMELECTROMOTION Joint Conference, pp.393398, 2015.

W. Pawlus, F. Liland, N. Nilsen, S. Øydna, G. Hovland, and T.K. WroldsenOptimization of a high fidelity virtual model of a hydraulic hoisting system for realtime simulationsProceedings of the 8th International Petroleum Technology Conference, pp.111, 2014.

W. Pawlus, M. Choux, G. Hovland, S. Øydna, and M.R. HansenModeling and simulation of an offshore pipe handling machineProceedings of the 55th SIMS International Conference on Simulation and Modeling, pp.277284, 2014.

W. Pawlus, M. Choux, G. Hovland, and H.V. KhangParameters identification of induction motor dynamic model for offshore applicationsProceedings of the 10th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications, pp.16, 2014.

Q. Lu, W. Pawlus, H.R. Karimi, and K.G. RobbersmyrDatabased modeling of vehicle collision by LPVARMAX model approachProceedings of the 9th Asian Control Conference, pp.16, 2013.

L. Zhao, W. Pawlus, H.R. Karimi, and K.G. RobbersmyrAdaptive NeuralFuzzy Inference System based method to modeling of vehicle crashProceedings of the IEEE International Conference on Mechatronics, pp.370375, 2013.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrApplication of fuzzy logic approach for modeling of a vehicle to pole central collisionProceedings of the 1st International Conference On Electrical Engineering and Control Applications, pp.16, 2012.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrMultiresolution waveletbased approach to identification of modal parameters of a vehicle fullscale crash testProceedings of the IEEE International Symposium on Intelligent Control, pp.11721177, 2012.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrReproduction of kinematics of cars involved in crash events using nonlinear autoregressive modelsProceedings of the IEEE International Conference on Control Applications, pp.563568, 2012.

W. Pawlus and H.R. KarimiNeural networkbased models for a vibration suppression system equipped with MR brakeProceedings of the 6th IEEE International Conference on Intelligent Systems, pp.330335, 2012.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrReconstruction of crash pulse of a vehicle involved in central localized collision based on Morlet waveletsProceedings of the 31st Chinese Control Conference, pp.18111816, 2012.

W. Pawlus, K.G. Robbersmyr, H.R. Karimi, and A. FangholThe performance investigation of viscoelastic hybrid models in vehicle crash event representationProceedings of the IFAC 18th World Congress, pp.21382143, 2011.

H.R. Karimi, W. Pawlus, and K.G. RobbersmyrInfluence of unloading modes of springmassdamper models on vehicle to pole collision simulation resultsProceedings of the 30th Chinese Control Conference, pp.59195923, 2011.

H.R. Karimi, W. Pawlus, and K.G. RobbersmyrA recursive model for nonlinear springmassdamper estimation of a vehicle localized impactProceedings of the 4th WSEAS International Conference on Engineering Mechanics, Structures, Engineering Geology, pp.473478, 2011.

W. Pawlus, K.G. Robbersmyr, and H.R. KarimiPerformance evaluation of feedforward neural networks for modeling a vehicle to pole central collisionProceedings of the 4th WSEAS International Conference on Engineering Mechanics, Structures, Engineering Geology, pp.467472, 2011.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrA comprehensive survey on vehicle crash and road safety devices manufacturingProceedings of the 44th CIRP International Conference on Manufacturing Systems, pp.16, 2011.

W. Pawlus, K.G. Robbersmyr, and H.R. KarimiParameter estimation of vehicle crash mathematical models using regressive models approachProceedings of the 24th International Congress on Condition Monitoring and Diagnostics Engineering Management COMADEM, pp.11801189, 2011.

W. Pawlus, H.R. Karimi, and K.G. RobbersmyrVehicle kinematics ahead prediction for localized impact by the means of autoregressive model with exogenous inputProceedings of the 5th WSEAS European Computing Conference, pp.370375, 2011.

W. Pawlus, J.E. Nielsen, H.R. Karimi, and K.G. RobbersmyrComparative analysis of vehicle to pole collision models established using analytical methods and neural networksProceedings of the 5th IET International System Safety Conference, pp.16, 2010.

W. Pawlus, J.E. Nielsen, H.R. Karimi, and K.G. RobbersmyrFurther results on mathematical models of vehicle localized impactProceedings of the 3rd International Symposium on Systems and Control in Aeronautics and Astronautics, pp.10471052, 2010.

W. Pawlus, J.E. Nielsen, H.R. Karimi, and K.G. RobbersmyrMathematical modeling and analysis of a vehicle crashProceedings of the 4th WSEAS European Computing Conference, pp.194199, 2010.
Books

W. Pawlus and J.E. NielsenDevelopment of mathematical models for vehicle to pole collisionShaker Publishing, Maastricht, 2010.