AIMS
Early detection of faults and degradations through continuous asset monitoring
Early detection of faults and degradations through continuous asset monitoring
OMISM (On Board Monitoring for Integrated System Management) aims at shifting the current condition assessment and monitoring paradigm for railways from offline to online assessment, using our interfacing tool AIMS (All In one Monitoring System). Monitoring should be based on online data obtained from systems installed aboard in-service trains to diagnose the condition and faults of railway infrastructure in a continuous fashion. This approach also allows complementary information to be collected on the state of the rolling stock. Specific challenges relate to determining which quantities need be measured, i.e., which data is actually needed, complemented with mathematical/statistical models of the interacting system, as well as determining critical parameters and processes that facilitate a reduction of life-cycle costs and improve the performance of the railway transport system.
OMISM (On Board Monitoring for Integrated System Management) aims at shifting the current condition assessment and monitoring paradigm for railways from offline to online assessment, using our interfacing tool AIMS (All In one Monitoring System). Monitoring should be based on online data obtained from systems installed aboard in-service trains to diagnose the condition and faults of railway infrastructure in a continuous fashion. This approach also allows complementary information to be collected on the state of the rolling stock. Specific challenges relate to determining which quantities need be measured, i.e., which data is actually needed, complemented with mathematical/statistical models of the interacting system, as well as determining critical parameters and processes that facilitate a reduction of life-cycle costs and improve the performance of the railway transport system.
Maintenance is a crucial factor in meeting the increasing demand for rail services with optimal safety, availability, and costs. However, inspecting and maintaining such a comprehensive and infrastructure-heavy system is very costly. We propose to complement the manual and diagnostic vehicle-supported track inspection with onboard monitoring techniques, and to develop new approaches for coping with the increased reactivity and rate of warnings that such a system might trigger. The ultimate goal is to reduce life-cycle costs and to increase system safety, system availability, and passenger comfort.
Maintenance is a crucial factor in meeting the increasing demand for rail services with optimal safety, availability, and costs. However, inspecting and maintaining such a comprehensive and infrastructure-heavy system is very costly. We propose to complement the manual and diagnostic vehicle-supported track inspection with onboard monitoring techniques, and to develop new approaches for coping with the increased reactivity and rate of warnings that such a system might trigger. The ultimate goal is to reduce life-cycle costs and to increase system safety, system availability, and passenger comfort.
This requires an understanding of the physical track system (forces, vibrations, reaction modes, and dynamics related to track and substrate quality) as well as of the railway system as a whole, which means evaluating the current system status (e.g., using a track quality index to assess system safety), but also predicting the future system status (e.g., by developing degradation models for a related track quality index), taking uncertainty into account.
This requires an understanding of the physical track system (forces, vibrations, reaction modes, and dynamics related to track and substrate quality) as well as of the railway system as a whole, which means evaluating the current system status (e.g., using a track quality index to assess system safety), but also predicting the future system status (e.g., by developing degradation models for a related track quality index), taking uncertainty into account.
Publications
Publications
- C. A. Hoelzl, V. Dertimanis, D. Winklehner, S. Züger, E. Chatzi, Data driven assessment of railway infrastructure condition, 10th International Conference on Bridge Maintenance, Safety and Management (IABMAS 2020), Sapporo, Japan
- C. A. Hoelzl, L. D. Avendano Valencia, V. K. Dertimanis, E. N. Chatzi and M. Zurkirchen, Axle Box Accelerometer Signal Identification and Modelling, Proceedings of the IMAC 2020 conference, Space Technologies For Humanity, February 10–13, 2020 in Houston, Texas
People
People
