In-Depth Focus: Smart Track Maintenance
Smart sensors on tracks can be used to remotely check the health of infrastructure and a variety of digital solutions can help maintenance teams carry out vital tasks more efficiently leading to reduced service downtime and extended rail infrastructure lifetime. This In-Depth Focus explores how effective predictive and preventive maintenance is in this IoT era.
Included in this In-Depth Focus:
- The power of big data: Smart maintenance using data analytics
Priya Agrawal, Deputy Chief Signal and Telecom Engineer at Indian Railways, explores how the fourth largest railway network in the world is taking a smart approach in shifting from periodic maintenance to condition-based and predictive maintenance regimes.
- Infrabel focuses on digital data as it moves towards predictive maintenance
Over the last five years, Infrabel, the Belgian rail infrastructure manager, has made a strong commitment to the digital transformation of maintenance to further improve the safety and quality of rail transport in Belgium. For Global Railway Review, Annelies Stevens, Manager of Switches, covers the many challenges of this transformation in the area of switch maintenance and its impact on Infrabel’s organisation.
- High-tech products and digital service concepts: The key to success for modern railway networks
Over past years, worldwide railway operators have been challenged more and more with higher demands. Urbanisation, increasing mobility and higher standards on safety and sustainability have led to a more demanding playing field. At the same time, investments are declining. Mark de Vries, CEO of voestalpine Track Solutions, recognises these challenges and explains more in this interview with Global Railway Review.
- Robotics and industrial AI for track maintenance
Diego Galar and Uday Kumar, Professors at Luleå University of Technology, explore how more sophisticated inspection, condition monitoring, analysis and maintenance technologies can facilitate cost effective and efficient rail asset management.