Dipl.-Ing. Leonhard Heindel
Dipl.-Ing. Leonhard Heindel
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Chair of Computational and Experimental Solid Mechanics
Visiting address:
MAR30, Zimmer 056 Marschnerstraße 30
01307 Dresden
Research
- Predictive Maintenance for e-Mobility using machine learning and signal processing (Projects ePredict and LRVTwin)
- Development of data-driven approaches for monitoring and prediction of dynamic system behavior
Teaching
- Tutorials for basic and advanced courses
- Currently in winter term 2022:
- Fatigue analysis (EMBF)
Publications
2024
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A demonstrator example for virtual sensing approaches in predictive maintenance applications , 11 Jun 2024, VAL5 Fifth International Conference on Material and Component Performance under Variable Amplitude Loading. p. 243 - 249Electronic (full-text) versionResearch output: Contribution to book/conference proceedings/anthology/report > Conference contribution
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Datengetriebene Zustandserfassung und Belastungsanalyse für eine Straßenbahn-Infrastruktur , 2024, Tagungsband 20. Internationale Schienenfahrzeugtagung Dresden. DVV Media Group GmbH, p. 170-172, 3 p.Research output: Contribution to book/conference proceedings/anthology/report > Conference contribution
2023
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Economic fatigue damage monitoring for vehicle fleets using the scattering transform , Dec 2023, 23, 4, e202300192Electronic (full-text) versionResearch output: Contribution to journal > Conference article
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Fatigue monitoring and maneuver identification for vehicle fleets using a virtual sensing approach , May 2023, 170, 107554Electronic (full-text) versionResearch output: Contribution to journal > Research article
2022
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Performance Assessment of different Machine Learning Algorithm for Life-Time Prediction of Solder Joints based on Synthetic Data , 20 Apr 2022Electronic (full-text) versionResearch output: Contribution to conferences > Paper
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Datenbasiertes Predictive Maintenance in der E-Mobilität , 2022, 2022, 148Electronic (full-text) versionResearch output: Contribution to journal > Conference article
2021
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A Virtual Sensing approach for approximating nonlinear dynamical systems using LSTM networks , 14 Dec 2021, 21, 1Electronic (full-text) versionResearch output: Contribution to journal > Conference article
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A data-driven approach for approximating non-linear dynamic systems using LSTM networks , Nov 2021, 38, C, 9 p.Electronic (full-text) versionResearch output: Contribution to journal > Conference article
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Additive manufacturing applications of phase-field-based topology optimization using adaptive isogeometric analysis , 12 Aug 2021, 2021, e202190003, e202100013Electronic (full-text) versionResearch output: Contribution to journal > Research article
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Projection Methods in Adaptive Isogeometric Analysis and its Application to Topology Optimization , 25 Jan 2021, 20, 1Electronic (full-text) versionResearch output: Contribution to journal > Conference article
Awards
- DVM-Junior-Preis, 2022