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Die folgenden Publikationen sind in der Online-Universitätsbibliographie der Universität Duisburg-Essen verzeichnet. Weitere Informationen finden Sie gegebenenfalls auch auf den persönlichen Webseiten der Person.
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Detection of rotor cracks : comparison of an old model-based approach with a new signal-based approachIn: Nonlinear Dynamics, Jg. 83, 2016, Nr. 3, S. 1153 – 1170
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Improved process monitoring and supervision based on a reliable multi-stage feature-based pattern recognition techniqueIn: Information Sciences, Jg. 259, 2014, S. 282 – 294
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Event detection using multisensor fusion and filtering techniques based on CWT and SVMIn: Proceedings of the 6th European Workshop - Structural Health Monitoring 2012, EWSHM 2012 / 6th European Workshop - Structural Health Monitoring (EWSHM), 2012.07.03-06, Dresden, Germany / Boller, Christian (Hrsg.). Berlin: DGZfP, Jg. 1, 2012, S. 206 – 213
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Feature-based resampling for classification using Discrete Wavelet Transform for diagnostic purposes of industrial processes with periodic dataIn: Proceedings of the Sixth European Workshop Structural Health Monitoring 2012 / Sixth European Workshop on Structural Health Monitoring (EWSHM), 2012.07.03-06, Dresden, Germany / Boller, Christian (Hrsg.). Berlin: DGZfP, 2012, S. 659 – 666
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Adaptive classification based on multisensor decisionIn: Structural health monitoring 2011: condition-based maintenance and intelligent structures / 8th International Workshop on Structural Health Monitoring ; Stanford University, Stanford, CA, September 13 - 15, 2011 / Chang, Fu-Kuo (Hrsg.). Lancaster, Pa.: DEStech Publications, 2011, S. 1309 – 1316
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Wavelet-based SVM system for evaluation of wear states and remaining life timeIn: Structural health monitoring 2011: condition-based maintenance and intelligent structures / 8th International Workshop on Structural Health Monitoring ; Stanford University, Stanford, CA, September 13 - 15, 2011 / Chang, Fu-Kuo (Hrsg.). Lancaster, Pa.: DEStech Publications, 2011, S. 1349 – 1356
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Application of Wavelets-based SVM Classification for Automated Fault Diagnosis and Prognosis of Mechanical SystemsDuisburg, Essen, 2016