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Schnabel Stephan
Schnabel Stephan
Hochschule Landshut
Verified email at haw-landshut.de
Title
Cited by
Cited by
Year
Monitoring of running-in of an EHL contact using contact impedance
S Schnabel, P Marklund, I Minami, R Larsson
Tribology Letters 63, 1-10, 2016
282016
Detection of particle contaminants in rolling element bearings with unsupervised acoustic emission feature learning
S Martin-del-Campo, S Schnabel, F Sandin, P Marklund
Tribology International 132, 30-38, 2019
272019
The detection of plastic deformation in rolling element bearings by acoustic emission
S Schnabel, P Marklund, R Larsson, S Golling
Tribology International 110, 209-215, 2017
182017
Study of the short-term effect of Fe3O4 particles in rolling element bearings: Observation of vibration, friction and change of surface topography of contaminated …
S Schnabel, P Marklund, R Larsson
Proceedings of the Institution of Mechanical Engineers, Part J: Journal of …, 2014
172014
The influence of contact time and event frequency on acoustic emission signals
S Schnabel, S Golling, P Marklund, R Larsson
Proceedings of the Institution of Mechanical Engineers, Part J: Journal of …, 2017
92017
Absolute measurement of elastic waves excited by Hertzian contacts in boundary restricted systems
S Schnabel, S Golling, P Marklund, R Larsson
Tribology Letters 65, 1-11, 2017
82017
Kinematic frequencies of rotating equipment identified with sparse coding and dictionary learning
S Martin-del-Campo, F Sandin, S Schnabel
Annual conference of the PHM society 11 (1), 2019
52019
Elastic waves of a single elasto-hydrodynamically lubricated contact
S Schnabel, P Marklund, R Larsson
Tribology Letters 65, 1-9, 2017
52017
Exploratory analysis of acoustic emissions in steel using dictionary learning
S Martin-del-Campo, F Sandin, S Schnabel, P Marklund, J Delsing
2016 IEEE International Ultrasonics Symposium (IUS), 1-4, 2016
52016
Algorithmic performance constraints for wind turbine condition monitoring via convolutional sparse coding with dictionary learning
S Martin-del-Campo, F Sandin, S Schnabel
Proceedings of the Institution of Mechanical Engineers, Part O: Journal of …, 2021
32021
Technical language supervision for intelligent fault diagnosis in process industry
K Löwenmark, C Taal, S Schnabel, M Liwicki, F Sandin
arXiv preprint arXiv:2112.07356, 2021
22021
Proof-of-concept of a cyber-physical system for identifying container handling processes in supply chains based on accelerometers and artificial intelligence
J Wittmann, S Schnabel, S Meissner
2023 IEEE 28th International Conference on Emerging Technologies and Factory …, 2023
12023
High Frequency Elastic Wave Emission Caused by a Single Elastohydrodynamically Lubricated Contact: Fundamental sources and Principles
S Schnabel
Luleå University of Technology, 2016
12016
Monitoring of wear in elasto-hydrodynamic lubricated contacts: Running-in and failure propagation
S Schnabel
Luleå tekniska universitet, 2014
12014
Dataset with condition monitoring vibration data annotated with technical language, from paper machine industries in northern Sweden
K Löwenmark, F Sandin, M Liwicki, S Schnabel
Svensk Nationell Datatjänst (SND), 2023
2023
Kinematic Frequencies of Rotating Equipment Identified with Sparse Coding and Dictionary Learning
S Martin del Campo Barraza, F Sandin, S Schnabel
Annual Conference of the Prognostics and Health Management Society, 23-26 …, 2019
2019
Contact resistance measurements as a monitoring tool for running in processes of point contacts
S Schnabel, P Marklund, R Larsson
International Tribology Symposium of IFToMM: 19/03/2013-21/03/2013, 2013
2013
Data-Driven Process Analysis of Logistics Systems: Implementation Process of a Knowledge-Based Approach
K Muehlbauer, S Schnabel, S Meissner
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Articles 1–18