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Benjamin Baasch
Benjamin Baasch
German Aerospace Center (DLR), Institute of Transportation Systems
Verified email at uni-bremen.de
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Cited by
Year
Deciphering the lithological consequences of bottom trawling to sedimentary habitats on the shelf
FKJ Oberle, PW Swarzenski, CM Reddy, RK Nelson, B Baasch, ...
Journal of Marine Systems 159, 120-131, 2016
582016
Volumetric budget calculation of sediment and carbon storage and export for a late Holocene mid-shelf mudbelt system (NW Iberia)
FKJ Oberle, TJJ Hanebuth, B Baasch, T Schwenk
Continental Shelf Research 76, 12-24, 2014
282014
Train wheel condition monitoring via cepstral analysis of axle box accelerations
B Baasch, J Heusel, M Roth, T Neumann
Applied Sciences 11 (4), 1432, 2021
242021
Inversion of marine multifrequency electromagnetic profiling data: a new approach to resolve surficial sediment stratification
B Baasch, H Müller, FKJ Oberle, T Dobeneck
Geophysical Journal International 200 (1), 439-451, 2014
202014
Map-supported positioning enables in-service condition monitoring of railway tracks
M Roth, B Baasch, P Havrila, J Groos
2018 21st International Conference on Information Fusion (FUSION), 2346-2353, 2018
172018
In-service condition monitoring of rail tracks: On an on-board low-cost multi-sensor system for condition based maintenance of railway tracks
B Baasch, MH Roth, JC Groos
Internationales Verkehrswesen 70 (1), 76-79, 2018
122018
Analysis of railway track irregularities with convolutional autoencoders and clustering algorithms
J Niebling, B Baasch, A Kruspe
European Dependable Computing Conference, 78-89, 2020
102020
Detecting corrugation defects in harbour railway networks using axle-box acceleration data
J Heusel, B Baasch, W Riedler, M Roth, S Shankar, JC Groos
Insight-Non-Destructive Testing and Condition Monitoring 64 (7), 404-410, 2022
82022
Detecting singular track defects by time-frequency signal separation of axle-box acceleration data
B Baasch, JC Groos, MH Roth, P Havrila
World Congress on Railway Research (WCRR) 2019, Tokyo, Japan, 2019
82019
Anomaly detection and forecasting methods applied to point machine monitoring data for prevention of railway switch failures
DN Guzman, E Hadzic, B Baasch, J Heusel, T Neumann, G Schrijver, ...
Advances in Asset Management and Condition Monitoring: COMADEM 2019, 307-318, 2020
52020
Predictive modelling of grain-size distributions from marine electromagnetic profiling data using end-member analysis and a radial basis function network
B Baasch, H Müller, T von Dobeneck
Geophysical Journal International 214 (1), 460-473, 2018
52018
Anomaly detection and forecasting methods applied to point machine monitoring data for prevention of switch failures
D Narezo Guzman, E Hadzic, B Baasch, J Heusel, T Neumann, ...
COMADEM 2019 Proceedings, 1-11, 2019
42019
Eingebettete zustandsüberwachung der gleisinfrastruktur: Entwicklung und erprobung von eingebetteten multi-sensor-systemen für die kontinuierliche zustandsüberwachung der …
B Baasch, J Heusel, JC Groos, S Shankar
Der Eisenbahningenieur EI, 6-8, 2019
42019
Zustandsüberwachung mit Regelfahrzeugen
K Alten, A Fuchs, J Struhar, B Baasch, J Heusel, JC Groos
EIK-Eisenbahn Ingenieur Kompendium, 111-127, 2022
32022
Determination of grain-size characteristics from electromagnetic seabed mapping data: a NW Iberian shelf study
B Baasch, H Müller, T von Dobeneck, FKJ Oberle
Continental Shelf Research 140, 75-83, 2017
32017
Sensorgestützte Anomaliedetektion zur Zustandsbewertung der Schiene mit Regelzügen
B Baasch, JC Groos, MH Roth
ETR-Eisenbahntechnische Rundschau, 2018
22018
CFW-Schienengüterverkehrskonzept von morgen
R Bänsch, M Weidner, J Mendizabal, J Galipienzo, A Henning, B Baasch, ...
EI-Der Eisenbahningenieur, 138-144, 2022
12022
An unsupervised machine learning approach to extract wheel and track health status indicators from train-borne accelerometer data
B Baasch, MH Roth, S Schulz, JC Groos
30th European Safety and Reliability Conference, ESREL 2020 and 15th …, 2020
12020
On the Use of Axle-Box Acceleration Data for Rail Vehicle Positioning
J Heusel, M Del Álamo, B Baasch, M Roth
2023 IEEE 26th International Conference on Intelligent Transportation …, 2023
2023
Rail Surface Defect Detection and Severity Analysis Using CNNs on Camera and Axle Box Acceleration Data
K Jahan, A Lähns, B Baasch, J Heusel, M Roth
International Congress and Workshop on Industrial AI, 423-435, 2023
2023
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