Sergio Martin-del-Campo
Sergio Martin-del-Campo
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Phobos 2/ASPERA data revisited: Planetary ion escape rate from Mars near the 1989 solar maximum
R Ramstad, Y Futaana, S Barabash, H Nilsson, S Martin del Campo B, ...
Geophysical Research Letters 40 (3), 477-481, 2013
Online feature learning for condition monitoring of rotating machinery
S Martin-del-Campo, F Sandin
Engineering Applications of Artificial Intelligence 64, 187-196, 2017
FPGA prototype of machine learning analog-to-feature converter for event-based succinct representation of signals
SM del Campo, K Albertsson, J Nilsson, J Eliasson, F Sandin
2013 IEEE International Workshop on Machine Learning for Signal Processingá…, 2013
Towards zero-configuration condition monitoring based on dictionary learning
S Martin-del-Campo, F Sandin
2015 23rd European Signal Processing Conference (EUSIPCO), 1306-1310, 2015
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
Dictionary learning approach to monitoring of wind turbine drivetrain bearings
S Martin-del-Campo, F Sandin, D Str÷mbergsson
International Journal of Computational Intelligence Systems 14 (1), 106-121, 2020
Unsupervised feature learning applied to condition monitoring
S MartÝn del Campo Barraza
Luleň University of Technology, 2017
Dictionary learning with equiprobable matching pursuit
F Sandin, S Martin-del-Campo
2017 International Joint Conference on Neural Networks (IJCNN), 557-564, 2017
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
Kinematic frequencies of rotating equipment identified with sparse coding and dictionary learning
S Martin-del-Campo, F Sandin, S Schnabel
Proceedings of the annual conference of the PHM society (ed Scott Clementsá…, 2019
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 ofá…, 2021
Unsupervised Ranking of Outliers in Wind Turbines via Isolation Forest with Dictionary Learning
S Martin-del-Campo, K Al-Kahwati
5th European Conference of the Prognostics and Health Management (PHMá…, 2020
Dataset concerning the vibration signals from wind turbines in northern Sweden
S Martin del Campo Barraza, F Sandin, D Str÷mbergsson
Towards autonomous condition monitoring sensor systems
S MartÝn del Campo Barraza
Luleň tekniska universitet, 2015
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