Research output per year
Research output per year
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Dive into the research topics where Vincentius Ewald is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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AI-Assisted Design & Optimization for Predictive Maintenance: A Case Study using Deep Learning and Search Metaheuristics for Structural Health Monitoring in Aviation
Ewald, V., 2023, 212 p.Research output: Thesis › Dissertation (TU Delft)
Open AccessFile29 Downloads (Pure) -
Perception modelling by invariant representation of deep learning for automated structural diagnostic in aircraft maintenance: A study case using DeepSHM
Ewald, V., Sridaran Venkat, R., Asokkumar, A., Benedictus, R., Boller, C. & Groves, R. M., 2021, In: Mechanical Systems and Signal Processing. 165, 31 p., 108153.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile23 Citations (Scopus)36 Downloads (Pure) -
Integrative approach for transducer positioning optimization for ultrasonic structural health monitoring for the detection of deterministic and probabilistic damage location
Ewald, V., Groves, R. & Benedictus, R., 2020, (E-pub ahead of print) In: Structural Health Monitoring. 20, 3, p. 1117-1144 28 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open AccessFile10 Citations (Scopus)43 Downloads (Pure) -
DeepSHM: A deep learning approach for structural health monitoring based on guided Lamb wave technique
Ewald, V., Groves, R. M. & Benedictus, R., 2019, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2019. Lynch, J. P., Sohn, H., Wang, K-W. & Huang, H. (eds.). SPIE, Vol. 10970. 109700H. (SENSORS AND SMART STRUCTURES TECHNOLOGIES FOR CIVIL, MECHANICAL, AND AEROSPACE SYSTEMS 2019).Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile34 Citations (Scopus)447 Downloads (Pure) -
Incorporating Inductive Bias into Deep Learning: A Perspective from Automated Visual Inspection in Aircraft Maintenance
Ewald, V., Goby, X., Jansen, H., Groves, R. & Benedictus, R., 2018, 10th International Symposium on NDT in Aerospace: Dresden, Germany. 9 p.Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review
Open AccessFile132 Downloads (Pure)
Datasets
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Data underlying the research of Integrated Sensor Placement for LW-SHM
Ewald, V. (Creator), Groves, R. M. (Creator) & Benedictus, R. (Creator), TU Delft - 4TU.ResearchData, 2 Jul 2020
DOI: 10.4121/UUID:71354FA6-A5E2-49F3-80AB-CCC7ED1EC327
Dataset/Software: Dataset
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Hotspot SHM Sensor Placement
Ewald, V. (Creator), TU Delft - 4TU.ResearchData, 2018
DOI: 10.4121/UUID:1FCC9E01-B339-4E75-B92A-2E40F3B660CF
Dataset/Software: Dataset