Fässler, Daniel (2020) Time series models for predicting failure-relevant characteristics of railway switches. Master's, Ulm University.
![]() |
PDF
8MB |
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: |
| ||||||||
Date: | July 2020 | ||||||||
Refereed publication: | No | ||||||||
Open Access: | Yes | ||||||||
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 (old) | ||||||||
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 |
Repository Staff Only: item control page