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Erschienen in:
Assessment of Sustainability is Essential for Performability Evaluation Kapitel lesen Erstes Kapitel lesen

2021 | OriginalPaper | Buchkapitel

25. Transformative Maintenance Technologies and Business Solutions for the Railway Assets

verfasst von : Uday Kumar, Diego Galar

Erschienen in: Handbook of Advanced Performability Engineering

Verlag: Springer International Publishing

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Abstract

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.

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Vorheriges Kapitel A Simple and Accurate Approximation to Renewal Function of Gamma Distribution
Nächstes Kapitel AI-Supported Image Analysis for the Inspection of Railway Infrastructure
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Metadaten
Titel
Transformative Maintenance Technologies and Business Solutions for the Railway Assets
verfasst von
Uday Kumar
Diego Galar
Copyright-Jahr
2021
Buch
Handbook of Advanced Performability Engineering

Print ISBN: 978-3-030-55731-7

Electronic ISBN: 978-3-030-55732-4

Copyright-Jahr: 2021

DOI
https://doi.org/10.1007/978-3-030-55732-4_25

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