PhDStudent
Cracow University of Technology
al. Jana Pawła II 37
31-864 Kraków
Poland
+48123743659
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Uploaded abstract link: Abstract MHCL 2019.pdf
Uploaded final paper link: MHCL_paper_026..pdf.
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Małgorzata Kuźnar
PhD Student
Cracow University of Technology
Grzegorz Kaczor
Research Associate
Cracow University of Technology
Augustyn Lorenc
Assistant Professor
Cracow University of Technology
PhD Student
Cracow University of Technology
Grzegorz Kaczor
Research Associate
Cracow University of Technology
Augustyn Lorenc
Assistant Professor
Cracow University of Technology
Pantograph Strips Failure Analysis and Artificial Intelligence Prevention Methods
In rail transport, reliability and operational safety in large part depends on the correct reception of power from the catenary by a traction vehicle. In this paper, a special attention was paid to consumption of sliding strips of a current collector (AKP-4E and 5ZL type), measured during periodic reviews of locomotives EU07 and EU09. Pantograph data, collected during periodic technical reviews, was provided by one of the biggest railway carrier in Poland.
To investigate the reliability assessment of the selected pantograph strips a non-destructive degradation analysis was carried out. On the basis of the wear measurements of the strips and the critical value of wear, the failure distribution model was developed. It was used to obtain the selected reliability characteristics and to predict the lifetime of the strips.
Such analysis was carried out for two variants.
