[{"_id":"44672","department":[{"_id":"151"}],"user_id":"54290","article_type":"original","article_number":"114399","type":"journal_article","status":"public","oa":"1","date_updated":"2023-05-09T09:53:31Z","volume":357,"author":[{"first_name":"Amelie","id":"54290","full_name":"Bender, Amelie","last_name":"Bender"}],"doi":"10.1016/j.sna.2023.114399","main_file_link":[{"url":"https://authors.elsevier.com/a/1h2WV3IC9dF7Hm","open_access":"1"}],"publication_identifier":{"issn":["0924-4247"]},"publication_status":"published","intvolume":"       357","citation":{"ama":"Bender A. Model-based condition monitoring of piezoelectric bending actuators. <i>Sensors and Actuators A: Physical</i>. 2023;357. doi:<a href=\"https://doi.org/10.1016/j.sna.2023.114399\">10.1016/j.sna.2023.114399</a>","chicago":"Bender, Amelie. “Model-Based Condition Monitoring of Piezoelectric Bending Actuators.” <i>Sensors and Actuators A: Physical</i> 357 (2023). <a href=\"https://doi.org/10.1016/j.sna.2023.114399\">https://doi.org/10.1016/j.sna.2023.114399</a>.","ieee":"A. Bender, “Model-based condition monitoring of piezoelectric bending actuators,” <i>Sensors and Actuators A: Physical</i>, vol. 357, Art. no. 114399, 2023, doi: <a href=\"https://doi.org/10.1016/j.sna.2023.114399\">10.1016/j.sna.2023.114399</a>.","mla":"Bender, Amelie. “Model-Based Condition Monitoring of Piezoelectric Bending Actuators.” <i>Sensors and Actuators A: Physical</i>, vol. 357, 114399, Elsevier BV, 2023, doi:<a href=\"https://doi.org/10.1016/j.sna.2023.114399\">10.1016/j.sna.2023.114399</a>.","short":"A. Bender, Sensors and Actuators A: Physical 357 (2023).","bibtex":"@article{Bender_2023, title={Model-based condition monitoring of piezoelectric bending actuators}, volume={357}, DOI={<a href=\"https://doi.org/10.1016/j.sna.2023.114399\">10.1016/j.sna.2023.114399</a>}, number={114399}, journal={Sensors and Actuators A: Physical}, publisher={Elsevier BV}, author={Bender, Amelie}, year={2023} }","apa":"Bender, A. (2023). Model-based condition monitoring of piezoelectric bending actuators. <i>Sensors and Actuators A: Physical</i>, <i>357</i>, Article 114399. <a href=\"https://doi.org/10.1016/j.sna.2023.114399\">https://doi.org/10.1016/j.sna.2023.114399</a>"},"keyword":["Condition Monitoring","Model-based approach Diagnostics","Varying conditions","Explainability","Piezoelectric bending actuators"],"language":[{"iso":"eng"}],"publication":"Sensors and Actuators A: Physical","abstract":[{"text":"With enhancing digitalization, condition monitoring is used in an increasing number of application fields across various industrial sectors. By its application, increased reliability as well as reduced risks and costs can be achieved. Based on different approaches, technical systems are monitored and measured data is analyzed to enable condition-based or predictive maintenance. To this end, machine learning approaches are usually implemented to diagnose the health states or predict the health index of the monitored system. However, these trained models are often black-box models, not intuitively explainable for a human. To overcome this shortcoming, a model-based approach based on physics is developed for piezoelectric bending actuators. Such a model enables a transparent representation of the system. Moreover, the model-based approach is extended by a parameter-estimation to account for sudden changes in behavior e. g. caused by occurring cracks.","lang":"eng"}],"publisher":"Elsevier BV","date_created":"2023-05-09T09:49:44Z","title":"Model-based condition monitoring of piezoelectric bending actuators","quality_controlled":"1","year":"2023"},{"date_updated":"2019-05-20T13:25:53Z","date_created":"2019-05-20T13:25:22Z","author":[{"full_name":"Sprock, Christian","last_name":"Sprock","first_name":"Christian"},{"first_name":"Walter","full_name":"Sextro, Walter","id":"21220","last_name":"Sextro"}],"title":"Time-efficient dynamic analysis of structures exhibiting nonlinear peak bending","doi":"10.1109/I2MTC.2014.6860760","year":"2014","citation":{"mla":"Sprock, Christian, and Walter Sextro. “Time-Efficient Dynamic Analysis of Structures Exhibiting Nonlinear Peak Bending.” <i>Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International</i>, 2014, pp. 320–24, doi:<a href=\"https://doi.org/10.1109/I2MTC.2014.6860760\">10.1109/I2MTC.2014.6860760</a>.","bibtex":"@inproceedings{Sprock_Sextro_2014, title={Time-efficient dynamic analysis of structures exhibiting nonlinear peak bending}, DOI={<a href=\"https://doi.org/10.1109/I2MTC.2014.6860760\">10.1109/I2MTC.2014.6860760</a>}, booktitle={Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International}, author={Sprock, Christian and Sextro, Walter}, year={2014}, pages={320–324} }","short":"C. Sprock, W. Sextro, in: Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International, 2014, pp. 320–324.","apa":"Sprock, C., &#38; Sextro, W. (2014). Time-efficient dynamic analysis of structures exhibiting nonlinear peak bending. In <i>Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International</i> (pp. 320–324). <a href=\"https://doi.org/10.1109/I2MTC.2014.6860760\">https://doi.org/10.1109/I2MTC.2014.6860760</a>","ama":"Sprock C, Sextro W. Time-efficient dynamic analysis of structures exhibiting nonlinear peak bending. In: <i>Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International</i>. ; 2014:320-324. doi:<a href=\"https://doi.org/10.1109/I2MTC.2014.6860760\">10.1109/I2MTC.2014.6860760</a>","ieee":"C. Sprock and W. Sextro, “Time-efficient dynamic analysis of structures exhibiting nonlinear peak bending,” in <i>Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International</i>, 2014, pp. 320–324.","chicago":"Sprock, Christian, and Walter Sextro. “Time-Efficient Dynamic Analysis of Structures Exhibiting Nonlinear Peak Bending.” In <i>Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International</i>, 320–24, 2014. <a href=\"https://doi.org/10.1109/I2MTC.2014.6860760\">https://doi.org/10.1109/I2MTC.2014.6860760</a>."},"page":"320-324","_id":"9889","user_id":"55222","department":[{"_id":"151"}],"keyword":["bending","dynamic testing","measurement","structural engineering","vibrations","measurement durations","mechanical structures","multisine measurement technique","nonlinear peak bending behavior","prediction method","time-efficient dynamic analysis","Heuristic algorithms","Nonlinear systems","Oscillators","Time measurement","Time-frequency analysis","Vibrations"],"language":[{"iso":"eng"}],"type":"conference","publication":"Instrumentation and Measurement Technology Conference (I2MTC) Proceedings, 2014 IEEE International","abstract":[{"lang":"eng","text":"A measurement method is presented that combines the advantages of the multisine measurement technique with a prediction method for peak bending behavior. This combination allows the analysis of the dynamic behavior of mechanical structures at distinctly reduced measurement durations and has the advantage of reducing high excitation impacts on the structure under test."}],"status":"public"}]