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Publications

The following publications were found in Vehicular Systems publication database.

Journal Papers

Accepted for publication
[Voronov et al., Accepted for publication]
Read the abstract of the paperExternal PDFShow BibTeX entry		 Predictive Maintenance of Lead-Acid Batteries with Sparse Vehicle Operational Data.
Sergii Voronov, Erik Frisk, and Mattias Krysander (Accepted for publication).
In: International Journal of Prognostics and Health Management, .
2021
[Voronov et al., 2021]
Read the abstract of the paperExternal PDFShow BibTeX entry		 A Forest-based Algorithm for Selecting Informative Variables Using Variable Depth Distribution.
Sergii Voronov, Daniel Jung, and Erik Frisk (2021).
In: Engineering Applications of Artificial Intelligence, .
2018
[Voronov et al., 2018]
Read the abstract of the paperExternal PDFShow BibTeX entry		 Data-driven battery lifetime prediction and confidence estimation for heavy-duty trucks.
Sergii Voronov, Erik Frisk, and Mattias Krysander (2018).
In: IEEE Transactions on reliability, 67(2):623--639.

Conference Papers

2018
[Mohseni et al., 2018]
Read the abstract of the paperShow BibTeX entry		 Deep learning model predictive control for autonomous driving in unknown environment.
Fatemeh Mohseni, Sergii Voronov, and Erik Frisk (2018).
In: 12TH IFAC Symposium on Robot Control. Budapest, Hungary.
[Voronov et al., 2018]
Read the abstract of the paperExternal PDFShow BibTeX entry		 Lead-acid battery maintenance using multilayer perceptron models.
Sergii Voronov, Erik Frisk, and Mattias Krysander (2018).
In: 2018 IEEE International Conference on Prognostics and Health Management. Seattle, USA.
2016
[Voronov et al., 2016]
Read the abstract of the paperDownload Article (pdf-file)Show BibTeX entry		 Variable selection for heavy-duty vehicle battery failure prognostics using random survival forests.
Sergii Voronov, Daniel Jung, and Erik Frisk (2016).
In: Third European Conference of the Prognostics and Health Management Society 2016. Bilbao, Spain.
[Voronov et al., 2016]
Read the abstract of the paperDownload Article (pdf-file)Show BibTeX entry		 Heavy-duty truck battery failure prognostics using random survival forests.
Sergii Voronov, Daniel Jung, and Erik Frisk (2016).
In: IFAC Advances in Automotive Control. Kolmården, Sweden.

Doctoral Thesis

2020
[Voronov, 2020]
External PDFShow BibTeX entry		 Machine Learning for Predictive Maintenance.
Sergii Voronov (2020).
PhD thesis, No. 2040, Linköping University.

Licentiate Thesis

2017
[Voronov, 2017]
Read the abstract of the paperDownload Article (pdf-file)Show BibTeX entry		 Data-driven lead-acid battery lifetime prognostics.
Sergii Voronov (2017).
Lic thesis, Linköping University.
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Contact information

Sergii Voronov
Ph.D. Student

Vehicular Systems
Dept. of Electrical Engineering
Linköping University
S-581 83 Linköping

Phone: +46 (0)13 - 28 5713
E-mail: sergii.voronov@liu.se
Fax: +46 (0)13 - 28 2035

Office: B-building, first floor, room 227:178


Page responsible: Sergii Voronov
Last updated: 2017-05-08