Lehrstuhl SRS - Team

Prof. Dr.-Ing. Nejra Beganovic

Nejra Beganovic

Burch University, Sarajevo, Bosnien und Herzegowina
Mid Sweden University, Sweden

RaumMB 352
Tel.:+49 (0) 203 / 3 79 - 19 51

Kurzvita / CV

2019 PostDoc
Mid Sweden University, Sweden
2017 Ass. Prof. Dr.,
International Burch University, Sarajevo, Bosnien und Herzegowina
2016 Promotion Dr.-Ing.,
University of Duisburg-Essen, Germany
2011 M.Sc. in Electrical Engineering/Automatic Control and Electronics,
Faculty of Electrical Engineering,
University of Sarajevo, Bosnia and Herzegovina
2009 B.Sc. in Electrical Engineering/Automatic Control and Electronics,
Faculty of Electrical Engineering,
University of Sarajevo, Bosnia and Herzegovina

Veröffentlichungen / Publications

  • Ali, M.A.; Moulik, B.; Beganovic, N.; Söffker, D.: A state-of-health-oriented power management strategy for multi-source electric vehicles considering situation-based optimized solutions in real-time. Annual Conference of the Prognostics and Health Management (PHM) Society, Scottsdale, Arizona, USA, 2019.
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  • Beganovic, N.; Moulik, B.; Ali, A.M.; Söffker, D.: Lifetime model developement for integration in power management of HEVs by terms of minimizing fuel consumption and battery degradation. Annual Conference of the Prognostics and Health Management (PHM) Society, Scottsdale, Arizona, USA, 2019.
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  • Beganovic, N.; Söffker, D.:: Estimation of Remaining Useful Lifetime of Lithium-ion Battery Based on Acoustic Emission Measurements. Journal of Energy Resources Technology, Vol. 141, No. 4, 2018, pp. 041901.
  • Wirtz, S.F.; Beganovic, N.; Söffker, D.: Investigation of damage detectability in composites using frequency-based classification of Acoustic Emission measurements. Structural Health Monitoring, 2018, pp. 1-12.
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  • Beganovic, N.; Njiri, J. G.; Söffker, D.: Reduction of structural loads in wind turbines based on adapted control strategy concerning online fatigue damage evaluation models. Energies, MDPI, Vol. 11 (12), 2018, pp. 3429.
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  • Njiri, J. G.; Beganovic, N.; Do, M. H.; Söffker, D.: Consideration of Lifetime and Fatigue Load in Wind Turbine Control. Renewable Energy, Vol. 131, 2018, pp. 818-828.
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  • Wirtz, S.F.; Cunha, A.P.A.; Beganovic, N.; Söffker, D. : High-speed data acquisition system for continuous Acoustic Emission monitoring and real-time signal processing using FPGA-based platform. European Workshop On Structural Health Monitoring (EWSHM 2018), UK, Manchester, 2018.
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  • Beganovic, N.; Söffker, D.: Remaining lifetime modeling using State-of-Health estimation. Mechanical Systems and Signal Processing, Vol. 92, 2017, pp. 107-123.
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  • Beganovic, N.; Njiri, J. G.; Söffker, D.: Wind turbine control strategy deployment concerning remaining useful lifetime prognostic model. Conference for Wind Power Drives 2017, Aachen, March 7-8, 2017, pp. 1-8.
  • Jihin, R.; Söffker, D.; Beganovic, N.: Integrated Prognostic Model For RUL Estimation Using Threshold Optimization. In: Chang, F.K.; Kopsaftopoulos (Ed.): Structural Health Monitoring 2017, Stanford, USA, September 12-14, 2017, pp. 640-647.
  • Cunha, A. P. A.; Wirtz, S.F.; Söffker, D.; Beganovic, N.: Implementation of frequency-based classification of damages in composites using real-time FPGA-based hardware framework. ASME 2017 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Cleveland, Ohio, USA, August 6-9, 2017, pp. 1-8.
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  • Wirtz, S.F.; Beganovic, N.; Tenberge, P.; Söffker, D.: Gear transmission monitoring 4.0: What can be expected from upcoming diagnostic and prognostic systems. 11. Aachener Kolloquium für Instandhaltung, Diagnose und Anlagenüberwachung (AKIDA), Aachen, November 15-16, 2016.
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  • Wirtz, S.F.; Beganovic, N.; Tenberge, T.; Söffker, D.: Frequency-based damage detection of spur gear using wavelet analysis. European Workshop on Structural Health Monitoring, Bilbao, Spain, July 5-8, 2016.
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  • Wirtz, S.F.; Beganovic, N.; Söffker, D.: Experimental results of frequency-based classification of damages in composites. European Workshop on Structural Health Monitoring, Bilbao, Spain, July 5-8, 2016.
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  • Beganovic, N.; Rothe, S.; Söffker, D.: Identification of diagnostic and prognostic features by means of AE and hydraulic pressure measurements. European Workshop on Structural Health Monitoring, Bilbao, Spain, July 5-8, 2016.
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  • Beganovic, N.; Söffker, D.: Structural Health Management utilization for lifetime prognosis and advanced control strategy deployment of Wind Turbines: An overview and outlook concerning actual methods, tools, and obtained results. Renewable & Sustainable Energy Reviews, Vol. 64, 2016, pp. 68-83.
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  • Beganovic, N.; Njiri, J. G.; Rothe, S.; Söffker, D.: Application of Diagnosis and Prognosis to Wind Turbine System Based on Fatigue Load. Proc. IEEE Conference on Prognostics and Health Management PHM 2015, Austin, TX, USA, 2015, pp. 1-6.
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  • Beganovic, N.; Söffker, D.: Wear Process Lifetime Prediction Based on Parametric Model Applied to Experimental Data. Proc. IEEE Conference on Prognostics and Health Management PHM 2015, Austin, TX, USA, 2015, pp. 1-6.
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  • Beganovic, N.; Moulik, B.; Söffker, D.: LI-O battery aging process: A smart review with respect to the integration of aging into system's powermanagement. Proc. ASME 2015 Dynamic Systems and Control (DSC) Conference, Columbus, Ohio, October 28-30, 2015, pp. V001T13A004.
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  • Beganovic, N.; Baccar, D., Söffker, D.: Wear aging and related impact on system reliability. In: Chang, F.K.; Kopsaftopoulos (Ed.): Structural Health Monitoring 2015, Stanford, USA, September 1-3, 2015, pp. 353-401.
  • Beganovic, N.; Rothe, S.; Söffker, D.: Establishing a wear-related deterioration model based on experimental data. Proc. Le Cam, Vincent and Mevel, Laurent and Schoefs, Franck. EWSHM -7th European Workshop on Structural Health Monitoring, Nantes, France, July 8-11, 2014.
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  • Söffker, D.; Beganovic, N.; Rothe, S.: Von der Diagnose zur Prognose: signal- und modellbasierte Methoden zur aktiven Anlagenüberwachung am Beispiel der Überwachung eines Verschleißprozesses. 10. Aachener Kolloquium für Instandhaltung, Diagnose und Anlagenüberwachung (AKIDA), Aachen, 2014, pp. 293-303.