Kurzvita / CV

2019Dr.-Ing. Mechanical Engineering,
Faculty of Engineering,
University of Duisburg-Essen, Germany
2013Dipl.-Ing. Mechanical Engineering/Mechatronics,
Faculty of Engineering,
University of Duisburg-Essen, Germany

Veröffentlichungen / Publications

  • Rothe, S.; David, R.; Söffker, D.: Introducing a State Machine approach for detection and prediction of driving behaviors. The 31st IEEE Intelligent Vehicles Symposium (IV2020), Las Vegas, June 23-26, 2020, submitted.
  • Rothe, S.; Söffker, D.: Does the precision value influence the fusion performance? A method-based experimental study. 10th European Workshop on Structural Health Monitoring (EWSHM 2020), Palermo, Italy, July 6-9, 2020, accepted.
  • Ameyaw, D. A.; Rothe, S.; Söffker, D.: A novel feature-based Probability of Detection (POD) assessment and fusion approach for reliability evaluation of vibration-based diagnosis systems. SHM Journal, 2019.
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  • Rothe, S.; Kudszus, B.; Söffker, D.: Does classifier fusion improve the overall performance? Numerical analysis of data and fusion method characteristics influencing classifier fusion performance. Entropy, Vol. 21, No. 9, 2019, pp. 866.
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  • Ameyaw, D. A.; Rothe, S.; Söffker, D.: Fault diagnosis using Probability of Detection (POD)-based sensor/information fusion for vibration-based analysis of elastic structures . PAMM-Wiley Online, 2018.
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  • Ameyaw, D. A.; Rothe, S.; Söffker, D.: Adaptation and Implementation of Probability of Detection (POD)-based Fault diagnosis in elastic structures through vibration-based SHM approach. The 9th European Workshop on Structural Health Monitoring (EWSHM), Manchester, July 10-13, 2018.
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  • Ameyaw, D. A.; Rothe, S.; Söffker, D.: Probability of Detection (POD)-oriented view to Fault Diagnosis for Reliability assessment of FDI approaches. ASME 2018 International Design Engineering Technical Conferences & Computers . 30th Conference on Mechanical Vibration and Noise, Quebec, Canada, August 26-29, 2018, DETC2018-85554, pp. V008T10A041.
  • Rothe, S.; Wirtz, S.F.; Kampmann, G.;Nelles, O.; Söffker, D.: Ensure the reliability of damage detection in composites by fusion of differently classified Acoustic Emission measurements. In: Chang, F.K.; Kopsaftopoulos (Ed.): Structural Health Monitoring 2017, Stanford, USA, September 12-14, 2017, pp. 1380-1387.
  • Söffker, D.; Rothe, S.: New Approaches for Supervision of Systems with Sliding Wear: Fundamental Problems and Experimental Results Using Different Approaches. Applied Sciences, Vol. 7, 2017, pp. 843.
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  • Rothe, S.; Wirtz, S. F.; Söffker, D.: About the reliability of diagnostic statements: fundamentals about detection rates, false alarms, and technical requirements. 11. Aachener Kolloquium für Instandhaltung, Diagnose und Anlagenüberwachung, Aachen, Germany, November 15-16, 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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  • Rothe, S.; Söffker, D.: Comparison of Different Information Fusion Methods Using Ensemble Selection Considering Benchmark Data. 19th International Conference on Information Fusion (FUSION), Heidelberg, Germany, July 5-8, 2016, pp. 73-78.
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  • Padrao, P.; Rothe, S.; Leite, A.; Söffker, D.: Optimal Threshold Synthesis for State-of-Health Classification and Evaluation of a Tribological System. Proc. 17th International Symposium on Dynamic Problems of Mechanics, Natal, Brazil, February 22-27, 2015.
  • 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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  • Rothe, S.; Söffker, D.: Development of a state-related evaluation for diagnostic-oriented data filtering approach. In: Chang, F.K.; Kopsaftopoulos (Ed.): Structural Health Monitoring 2015, Stanford, USA, September 1-3, 2015, pp. 593-600.
  • Rothe, S.; Leite, A.; Padrao, P.; Söffker, D.: Improvement and comparison of wear-oriented state-of- health classification methods using optimization techniques. In: Chang, F.K.; Kopsaftopoulos (Ed.): Structural Health Monitoring 2015, Stanford, USA, September 1-3, 2015, pp. 625-632.
  • Schiffer, S.; Rothe, S.; Baccar, D.; Söffker, D.: Classifiation of system's health condition using the new Adaptive Fuzzy-based Feature Classification Approach AFFCA in comparison to a macro-data-based approach. 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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  • Rothe, S.; Söffker, D.: Wear-oriented state-of-health calculation and classification using operating 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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  • 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.; Rothe, S.: Comparison of three - easy to apply and innovative - signal-based approaches for diagnosis of a technical system with wear. Proc. ASME 2014 Dynamic Systems and Control (DSC) Conference, Vol. 1, 2014, pp. V001T08A005.
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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.
  • Söffker, D.; Muthig O.; Hägele, G.; Sarkheyli, A.; Rothe, S.: Automat oder/und Mensch - Assistenz, Führung, wechselnde Rollenverteilung: Überlegungen zur Berechnung und Steigerung der Gesamtsystemverlässlichkeit. Tagungsband DGLR L6.4 Anthropotechnik 56. Fachausschusssitzung, Ottobrunn, Deutschland, Oktober, 2014, pp. 281-284.
  • Söffker, D.; Rothe, S.; Schiffer, S.; Aljoumaa, H.; Baccar, D.: Smart, tough, and successful: Three new innovative approaches for diagnosis and prognosis of technical systems. In: Chang, F.K. (Ed.): Structural Health Monitoring 2013, 2013, pp. 81-88.
  • Söffker, D.; Aljoumaa, H.; Baccar, D.; Rothe, S.: Smart, robust und einfach: Drei innovative Konzepte zur Maschinendiagnose. 9. Aachener Kolloquium für Instandhaltung, Diagnose und Anlagenüberwachung AKIDA, Aachen, 2012.