In the past, railway systems were overdesigned and underutilized making the need for effective, coordinated, and optimized maintenance planning non-existence. With passing years, these assets are getting old and at the same time, their utilization has increased manifold mainly due to societal consciousness about climate and cost. With steeply increasing utilization of railway systems, the major challenge is to find the time slot to perform maintenance on the infrastructure and rolling stocks to maintain its functionality and ensure safe train operation. This has led the sector to look for new and emerging technologies that will facilitate effective and efficient railway maintenance and ensure reliable, punctual, and safe train operation. This chapter presents the current status and the state-of-the-art of maintenance in railway sector transformative maintenance technologies and business solutions for the railway assets. It discusses the digital transformation of railway maintenance, application of artificial intelligence (AI), machine learning, big data analytics, digital twins, robots, and drones as part of the digital railway maintenance solutions. The chapter presents a conceptual road map for developing transformative maintenance solutions for railway using new and enabling technologies which are founded on data-driven decisions.
Transformative Maintenance Technologies and Business Solutions for the Railway Assets
Handbook of Advanced Performability Engineering ; Kapitel : 25 ; 565-595
2020-11-17
31 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Railway assets , Maintenance , Big data , Maintenance analytics , Digital twin , Augmented reliability , Transformative technologies , AI , IIoT , Machine learning Engineering , Quality Control, Reliability, Safety and Risk , Manufacturing, Machines, Tools, Processes , Engineering Design , Industrial Pollution Prevention , Communications Engineering, Networks
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