Does classifier fusion improve the overall performance? Numerical analysis of data and fusion method characteristics influencing classifier fusion performance S Rothe, B Kudszus, D Söffker Entropy 21 (9), 866, 2019 | 18 | 2019 |
A novel feature-based probability of detection assessment and fusion approach for reliability evaluation of vibration-based diagnosis systems DA Ameyaw, S Rothe, D Söffker Structural Health Monitoring 19 (3), 649-660, 2020 | 12 | 2020 |
Comparison of different information fusion methods using ensemble selection considering benchmark data S Rothe, D Söffker 2016 19th International Conference on Information Fusion (FUSION), 73-78, 2016 | 12 | 2016 |
New Approaches for Supervision of Systems with Sliding Wear: Fundamental Problems and Experimental Results Using Different Approaches D Söffker, S Rothe Applied Sciences 7 (8), 843, 2017 | 9 | 2017 |
Application of diagnosis and prognosis to wind turbine system based on fatigue load N Beganovic, JG Njiri, S Rothe, D Söffker 2015 ieee conference on prognostics and health management (phm), 1-6, 2015 | 9 | 2015 |
Smart, Tough and Successful: Three New Innovative Approaches for Diagnosis and Prognosis of Technical Systems D SÖFFKER, S Rothe, S Schiffer, H Aljoumaa, D Baccar Structural Health Monitoring 2013, 2013 | 9 | 2013 |
Lane changing behavior recognition based on artificial neural network-based state machine approach R David, S Rothe, D Soffker 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 7 | 2021 |
About the reliability of diagnostic statements: fundamentals about detection rates, false alarms, and technical requirements S Rothe Deutsche Nationalbibliothek, 2016 | 6 | 2016 |
Probability of detection (POD)-oriented view to fault diagnosis for reliability assessment of FDI approaches DA Ameyaw, S Rothe, D Söffker International Design Engineering Technical Conferences and Computers and …, 2018 | 5 | 2018 |
Adaptation and implementation of Probability of Detection (POD)-based fault diagnosis in elastic structures through vibration-based SHM approach DA Ameyaw, S Rothe, D Söffker 9th European Workshop on Structural Health Monitoring, 2018 | 5 | 2018 |
State machine approach for lane changing driving behavior recognition R David, S Rothe, D Söffker Automation 1 (1), 68-79, 2020 | 4 | 2020 |
Establishing a wear-related deterioration model based on experimental data N Beganovic, S Rothe, D Söffker EWSHM-7th European Workshop on Structural Health Monitoring, 2014 | 4 | 2014 |
Fault diagnosis using Probability of Detection (POD)‐based sensor/information fusion for vibration‐based analysis of elastic structures DA Ameyaw, S Rothe, D Söffker PAMM 18 (1), e201800474, 2018 | 3 | 2018 |
Development of a state-related evaluation for diagnostic-oriented data filtering approach S Rothe, D SÖFFKER Structural Health Monitoring 2015, 2015 | 3 | 2015 |
Ensuring the Reliability of Damage Detection in Composites by Fusion of Differently Classified Acoustic Emission Measurements S ROTHE, SF WIRTZ, G KAMPMANN, O NELLES, D SÖFFKER Structural Health Monitoring 2017, 2017 | 2 | 2017 |
Identification of diagnostic and prognostic features by means of AE and hydraulic pressure measurements N Beganovic, S Rothe, D Söffker Proceedings of 8th European Workshop on Structural Health Monitoring, Bilbao …, 2016 | 2 | 2016 |
Wear-oriented state-of-health calculation and classification using operating data S Rothe, D Söffker EWSHM-7th European Workshop on Structural Health Monitoring, 2014 | 2 | 2014 |
Classifiation of Systems' Health Condition Using the New Adaptive Fuzzy-Based Feature Classification Approach AFFCA in Comparison to a Macro-Data-Based Approach S Schiffer, S Rothe, D Baccar, D Söffker EWSHM-7th European Workshop on Structural Health Monitoring, 2014 | 2 | 2014 |
Does the precision value influence the fusion performance? A method-based experimental study S Rothe, D Söffker European Workshop on Structural Health Monitoring, 754-764, 2020 | 1 | 2020 |
Reliable information fusion methods for condition monitoring S Rothe Dissertation, Duisburg, Essen, Universität Duisburg-Essen, 2019, 2019 | 1 | 2019 |