TY - CHAP
T1 - CoMPAcT-Data Based Condition Monitoring and Prediction Analytics for Turnouts
AU - Fellinger, Michael
AU - Wilfling, Petra A.
AU - Marschnig, Stefan
N1 - Publisher Copyright:
© 2021, Springer Nature Switzerland AG.
PY - 2021
Y1 - 2021
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85102289213&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-62472-9_8
DO - 10.1007/978-3-030-62472-9_8
M3 - Chapter
AN - SCOPUS:85102289213
T3 - Springer Series in Reliability Engineering
SP - 129
EP - 148
BT - Springer Series in Reliability Engineering
PB - Springer Science and Business Media Deutschland GmbH
ER -