Lehrstuhl SRS - Team

Kurzvita / CV

2020Prof. Dr.-Ing.,Maschinenbau,Technische Hochschule Mittelhessen
2015 - 2020Industrie PHIcom GmbH / Carmenta GmbH
2015Dr.-Ing., Fakultät für Ingenieurwissenschaften, Universität Duisburg-Essen
2009M.Sc., Mikrotechnik und Medizintechnik, FH Gelsenkirchen
2005Dipl.-Ing. (FH), Elektrotechnik, FH Gelsenkirchen

Veröffentlichungen / Publications

  • Baccar, D.; Söffker, D.: Identification and Classification of Failure Modes in Laminated Composites by using a Multivariate Statistical Analysis of Wavelet Coefficients. Mechanical System and Signal Processing, Vol. 96, 2017, pp. 77-87.
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  • Baccar, D.; Söffker, D.: Wear Detection by Means of Wavelet-based Acoustic Emission Analysis. Mechanical Systems and Signal Processing, Vol. 60-61, August, 2015, pp. 198-207.
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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.
  • Baccar, D.; Schiffer, S.; Söffker, D: Acoustic Emission-based Identification and Classification of Frictional Wear of Metallic Surfaces. 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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  • 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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  • Baccar, D.; Söffker, D.: Application of acoustic emission Technique for online evaluation and classification of wear state. In: Chang, F.K. (Ed.): Structural Health Monitoring 2013, 2013, pp. 1218-1225.
  • 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.
  • Baccar, D.; Söffker, D.: Classification of wear by means of acoustic emission and signal processing techniques. 6th European Workshop on Structural Health Monitoring, Dresden, Germany, July 3-6, 2012.
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  • Baccar, D.; Söffker, D.: Wavelet-based online evaluation and classification of wear state using acoustic emission. ASME 2012 Conference on Smart Materials, Adaptive Structures and Intelligent Systems, Stone Mountain, GA, USA, 2012.
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  • 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.
  • Dettmann, K.-U.; Baccar, D.; Söffker, D.: Examination of wear phenomena by using filtering techniques for FDI purposes. In: Chang, F.K. (Ed.): Structural Health Monitoring 2011, 2011, pp. 1037-1044.
  • Baccar, D.; Dettmann, K.-U.; Söffker, D.: FPGA-based realization of online damage state and wear detection using acoustic emission. Proc. 5th ECCOMAS Thematic Conference on Smart Structures and Materials SMART'11, Saarbrücken, July 6-8, 2011, pp. 474-481.