Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
CoMPAcT-Data Based Condition Monitoring and Prediction Analytics for Turnouts
Unloaded measurements of turnouts guarantee the adherence of safety critical geometric limits but do not allow behaviour forecasting. To push maintenance strategies for turnouts up to a preventive level, performance prediction is required. Therefore, it was necessary to identify data, being suitable to describe the condition of a turnout, based on loaded measurements. The measurement data from the standard track recording car EM250 of the Austrian Federal Railways are best suited for this purpose. Due to the limited length and the varying stiffness of a turnout, the measurement data must be positioned much more precisely. In this context, it was necessary to develop a methodology for a defined and comprehensible measurement data positioning. This method enables the positioning of all available measurement signals with a maximum deviation of one measurement point (25 cm) and ensures the synchronicity between each single measurement signal. Applying this positioning algorithm to the measurement data, it is possible to describe the behaviour of turnouts quite well. Different methods for describing the necessary tamping actions as well as the actual condition of the ballast are presented. These methodologies enable describing the present condition of turnout components and deliver statistical values, required for prediction algorithms.
CoMPAcT-Data Based Condition Monitoring and Prediction Analytics for Turnouts
Unloaded measurements of turnouts guarantee the adherence of safety critical geometric limits but do not allow behaviour forecasting. To push maintenance strategies for turnouts up to a preventive level, performance prediction is required. Therefore, it was necessary to identify data, being suitable to describe the condition of a turnout, based on loaded measurements. The measurement data from the standard track recording car EM250 of the Austrian Federal Railways are best suited for this purpose. Due to the limited length and the varying stiffness of a turnout, the measurement data must be positioned much more precisely. In this context, it was necessary to develop a methodology for a defined and comprehensible measurement data positioning. This method enables the positioning of all available measurement signals with a maximum deviation of one measurement point (25 cm) and ensures the synchronicity between each single measurement signal. Applying this positioning algorithm to the measurement data, it is possible to describe the behaviour of turnouts quite well. Different methods for describing the necessary tamping actions as well as the actual condition of the ballast are presented. These methodologies enable describing the present condition of turnout components and deliver statistical values, required for prediction algorithms.
CoMPAcT-Data Based Condition Monitoring and Prediction Analytics for Turnouts
Springer Ser Reliab Eng
Galeazzi, Roberto (Herausgeber:in) / Kjartansson Danielsen, Hilmar (Herausgeber:in) / Kjær Ersbøll, Bjarne (Herausgeber:in) / Juul Jensen, Dorte (Herausgeber:in) / Santos, Ilmar (Herausgeber:in) / Fellinger, Michael (Autor:in) / Wilfling, Petra A. (Autor:in) / Marschnig, Stefan (Autor:in)
Intelligent Quality Assessment of Railway Switches and Crossings ; Kapitel: 8 ; 129-148
05.03.2021
20 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
| Engineering Index Backfile | 1894
TURNOUTS AND SPECIAL TRACKWORK
Online Contents | 1994
TURNOUTS AND SPECIAL TRACKWORK
Online Contents | 1999
TURNOUTS AND SPECIAL TRACKWORK
Online Contents | 1996