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Schnabel Stephan
Schnabel Stephan
Hochschule Landshut
Verified email at haw-landshut.de
Title
Cited by
Cited by
Year
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
242019
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
222016
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
162017
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
142014
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
82017
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
72017
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
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
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
22021
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
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
2023
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
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