Sergio Martin Del Campo Barraza
Sergio Martin Del Campo Barraza

Sergio Martin Del Campo Barraza

Embedded Internet Systems Lab
Department of Computer Science, Electrical and Space Engineering
+46 (0)920 493032
A2316 Luleå

Brief Information

I am a post-doc at the EISLAB division of the department of Computer Science, Electrical and Space Engineering. Simultaneously, I belong to the SKF-LTU University Technology Center for advanced condition monitoring.

Currently, I focus on ​the use of machine learning to the analysis of time wave signals on condition monitoring applications. In particular, the diagnosis of rotating machinery (i.e. wind turbines) using methods that could be implemented in resource constrained devices.

My research interests include:

  • Machine intelligence
  • Sparse coding
  • Dictionary learning
  • Anomaly detection
  • Time series analysis
  • Bio-inspired computation


I was born 1983 in Guadalajara, Mexico. I received my BSc in Mechatronic Engineering from the Monterrey Institute of Technology and Higher Education (ITESM), Campus Guadalajara in 2007. During 2007 to 2010, I worked as Design Engineer of Electrical Systems at GE-Aviation. I started my master degree education in 2010 with an Erasmus Mundus scholarship from the European Comission. I received my double degree of MSc in Space Science and Technology in 2012 from Luleå University of Technology and Julius Maximilians University of Würzburg. I started as a PhD student at Luleå University of Technology in 2013 and received my PhD degree in 2017. The main focus of my PhD was the use of machine learning on industrial applications.

Related documents


Article in journal

Detection of particle contaminants in rolling element bearings with unsupervised acoustic emission feature learning (2019)

Martin del Campo Barraza. S, Schnabel. S, Sandin. F, Marklund. P
Tribology International, Vol. 132, s. 30-38
Conference paper

Kinematic Frequencies of Rotating Equipment Identified with Sparse Coding and Dictionary Learning (2019)

Martin del Campo Barraza. S, Sandin. F, Schnabel. S
Part of: Proceedings of the Annual Conference of the Prognostics and Health Management Society 2019, Prognostics and Health Management Society, 2019
Data set

Dataset concerning the vibration signals from wind turbines in northern Sweden (2018)

Martin del Campo Barraza. S, Sandin. F, Strömbergsson. D
Article in journal

A dictionary learning approach to monitoring of wind turbine drivetrain bearings (2017)

Martin del Campo Barraza. S, Sandin. F, Strömbergsson. D
Mechanical systems and signal processing
Conference paper

Dictionary Learning with Equiprobable Matching Pursuit (2017)

Sandin. F, Martin-del-Campo. S
Paper presented at : 2017 International Joint Conference on Neural Networks (IJCNN), Anchorage, AK, 14-19 May 2017