Condition Monitoring of Rail Tracks using Machine Learning

Naumann, Jonas and Algermissen, Stephan and Brauer, Christoph (2023) Condition Monitoring of Rail Tracks using Machine Learning. DLR-Interner Bericht. DLR-IB-SY-BS-2023-7. Student thesis. TU Braunschweig. 45 S.

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Item URL in elib:

https://elib.dlr.de/193900/

Document Type:

Monograph (DLR-Interner Bericht, Student thesis)

Title:

Condition Monitoring of Rail Tracks using Machine Learning

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD	ORCID Put Code
Naumann, Jonas	UNSPECIFIED	UNSPECIFIED	UNSPECIFIED
Algermissen, Stephan	UNSPECIFIED	https://orcid.org/0000-0002-0507-8195	UNSPECIFIED
Brauer, Christoph	UNSPECIFIED	https://orcid.org/0000-0003-2913-0768	UNSPECIFIED

Date:

10 January 2023

Refereed publication:

Open Access:

Number of Pages:

Status:

Published

Keywords:

Condition Monitoring, Deep Learning, Railway

Institution:

TU Braunschweig

HGF - Research field:

Aeronautics, Space and Transport

HGF - Program:

Transport

HGF - Program Themes:

other

DLR - Research area:

Transport

DLR - Program:

V - no assignment

DLR - Research theme (Project):

V - no assignment

Location:

Braunschweig

Institutes and Institutions:

Institut für Systemleichtbau > Adaptronics
Institut für Systemleichtbau > Production Technologies SD

Deposited By:

Schlegel, Linda

Deposited On:

27 Feb 2023 07:49

Last Modified:

27 Feb 2023 07:49

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