Kurzvita / CV

2014M.Sc. in Mechanical Engineering (Applied Mechanics),
Department of Mechanical Engineering,
Kwame Nkrumah University of Science and Technology, Ghana
2013Research Assistant,
Department of Mechanical Engineering,
Kwame Nkrumah University of Science and Technology, Ghana
2011Teaching Assistant,
Department of Mechanical Engineering,
Kwame Nkrumah University of Science and Technology, Ghana
2011B.Sc. in Mechanical Engineering,
Department of Mechanical Engineering,
Kwame Nkrumah University of Science and Technology, Ghana

Veröffentlichungen / Publications

  • 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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  • Ameyaw, D. A.; Deng, Q.; Söffker, D.: Probability of Detection (POD)-based metric for evaluation of Classifiers used in Driving Behavior Prediction. Proceedings of the Annual Conference of the PHM Society, 11(1) , Scottsdale, Arizona, USA, September 21-26, 2019.
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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.