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Time series models for predicting failure-relevant characteristics of railway switches

Fässler, Daniel (2020) Time series models for predicting failure-relevant characteristics of railway switches. Master's, Ulm University.

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Item URL in elib:https://elib.dlr.de/135878/
Document Type:Thesis (Master's)
Title:Time series models for predicting failure-relevant characteristics of railway switches
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Fässler, Danieldaniel.faessler (at) dlr.deUNSPECIFIED
Date:July 2020
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Number of Pages:115
Status:Published
Keywords:Railway switch, switch engine, time series, current curve, ARIMA, exogeneous variables, temperature
Institution:Ulm University
Department:Faculty of Mathematics and Economics
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Rail Transport
DLR - Research area:Transport
DLR - Program:V SC Schienenverkehr
DLR - Research theme (Project):V - Digitalisierung und Automatisierung des Bahnsystems
Location: Berlin-Adlershof
Institutes and Institutions:Institute of Transportation Systems > Data Management and Knowledge Discovery
Deposited By: Neumann, Dr.-Ing. Thorsten
Deposited On:07 Sep 2020 14:08
Last Modified:07 Sep 2020 14:08

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