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Data Acquisition for Railway Wheel Monitoring
The goal of this project is to evaluate the acquired data and data sources, confirm and discuss the findings with SBB and evaluate ways to acquire a clean test dataset. This will include close cooperation with SBB.
Keywords: Data Source Evaluation, Railway Wheel Monitoring
Railway wheels are safety critical components, have a significant impact on the performance and are a major cost driver for maintenance. The condition of the wheels has also a significant influence on the infrastructure condition and its maintenance.
Due to their criticality, wheels are tightly monitored by different condition monitoring devices: including fixed installations, wayside monitoring devices and in‐workshop inspections. The goal of the entire research project is to develop data-driven algorithms for detection of railway wheel faults and prediction of their evolution. To validate the developed algorithms, a proper test dataset needs to be acquired.
Railway wheels are safety critical components, have a significant impact on the performance and are a major cost driver for maintenance. The condition of the wheels has also a significant influence on the infrastructure condition and its maintenance. Due to their criticality, wheels are tightly monitored by different condition monitoring devices: including fixed installations, wayside monitoring devices and in‐workshop inspections. The goal of the entire research project is to develop data-driven algorithms for detection of railway wheel faults and prediction of their evolution. To validate the developed algorithms, a proper test dataset needs to be acquired.
Not specified
Application: Please send per email in a single PDF, a motivation letter (how is your profile relevant to the project and how is the project relevant for your career goals) and your transcripts.
Contact: Katharina Rombach ETH Zürich Chair of Intelligent Maintenance Systems Dept. of Civil, Environmental and Geomatic Engineering rombach@ibi.baug.ethz.ch
Application: Please send per email in a single PDF, a motivation letter (how is your profile relevant to the project and how is the project relevant for your career goals) and your transcripts.
Contact: Katharina Rombach ETH Zürich Chair of Intelligent Maintenance Systems Dept. of Civil, Environmental and Geomatic Engineering rombach@ibi.baug.ethz.ch