Libor Zák

According to our database, Libor Zák authored at least 9 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2023

Combustion Engine Degradation Assessment Supported by Tribological Data, Correlation and Reduction Analysis.

David Valis, Libor Zák, Zdenek Vintr

Proceedings of the IEEE International Conference on Industrial Engineering and Engineering Management, 2023

2019

Perspective Exploratory Methods for Multidimensional Data Analysis.

David Valis, Libor Zák, Zdenek Vintr

Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

2018

System Condition Assessment Based on Mathematical Analysis.

David Valis, Libor Zák, Zdenek Vintr

Proceedings of the 2018 IEEE International Conference on Industrial Engineering and Engineering Management, 2018

2017

One of the Possible Ways to Find Partial Dependencies in Multidimensional Data.

Libor Zák, David Valis, Lucie Záková

Proceedings of the Recent Advances in Soft Computing, 2017

2016

Perspective analysis outcomes of selected tribodiagnostic data used as input for condition based maintenance.

David Valis, Libor Zák, Ondrej Pokora, Petr Lánský

Reliab. Eng. Syst. Saf., 2016

System Condition Estimation Based on Selected Tribodiagnostic Data.

David Valis, Libor Zák, Ondrej Pokora

Qual. Reliab. Eng. Int., 2016

2015

Using oil quality indicators as system technical life characteristics and maintenance optimizers.

David Valis, Libor Zák, Jiri Chaloupka

Proceedings of the 2015 IEEE International Conference on Industrial Engineering and Engineering Management, 2015

2014

Prediction of vehicle further operation and fault based on tribo-diagnostic data.

David Valis, Libor Zák, Jiri Chaloupka

Proceedings of the 2014 IEEE International Conference on Industrial Engineering and Engineering Management, 2014

2013

On Approaches of Assessment of Tribo Data from Medium Lorry Truck.

David Valis, Libor Zák, Agata Walek

Proceedings of the Nostradamus 2013: Prediction, 2013