Predictive control strategies used to solve challenges related to modern railway vehicles

Ngigi, R. W.; Pislaru, Crinela; Ball, Andrew; Gu, Fengshou; Anyakwo, Arthur

doi:10.1049/cp.2011.0615

Cited by 4 publications

(3 citation statements)

References 14 publications

(15 reference statements)

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“…Ngigi et al [ 76 ] describe the benefits of using predictive control systems to monitor different activities. Such a kind of systems is used for making better decisions when determining maintenance procedures.…”

Section: Iot-enabled Services: From More Efficient Operations To Nmentioning

confidence: 99%

Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways

Fraga‐Lamas

Fernández‐Caramés

Castedo

2017

Sensors

186

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Nowadays, the railway industry is in a position where it is able to exploit the opportunities created by the IIoT (Industrial Internet of Things) and enabling communication technologies under the paradigm of Internet of Trains. This review details the evolution of communication technologies since the deployment of GSM-R, describing the main alternatives and how railway requirements, specifications and recommendations have evolved over time. The advantages of the latest generation of broadband communication systems (e.g., LTE, 5G, IEEE 802.11ad) and the emergence of Wireless Sensor Networks (WSNs) for the railway environment are also explained together with the strategic roadmap to ensure a smooth migration from GSM-R. Furthermore, this survey focuses on providing a holistic approach, identifying scenarios and architectures where railways could leverage better commercial IIoT capabilities. After reviewing the main industrial developments, short and medium-term IIoT-enabled services for smart railways are evaluated. Then, it is analyzed the latest research on predictive maintenance, smart infrastructure, advanced monitoring of assets, video surveillance systems, railway operations, Passenger and Freight Information Systems (PIS/FIS), train control systems, safety assurance, signaling systems, cyber security and energy efficiency. Overall, it can be stated that the aim of this article is to provide a detailed examination of the state-of-the-art of different technologies and services that will revolutionize the railway industry and will allow for confronting today challenges.

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Section: Iot-enabled Services: From More Efficient Operations To Nmentioning

confidence: 99%

Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways

Fraga‐Lamas

Fernández‐Caramés

Castedo

2017

Sensors

186

View full text Add to dashboard Cite

show abstract

“…As for ITS, scientific literature in the field of predictive maintenance is vast, dealing with strategies and techniques for different transportation modes or focusing on remote diagnostic tools, data acquisition and real-time monitoring for specific engine components or infrastructures [14][15][16][17][18][19][20][21][22]. However, predictive maintenance based specifically on monitoring the quality of engine lubricants and applied to bus fleets is highly innovative, as, to date, this technology has been applied mostly in the landfill and earthmoving sectors; this explains both the lack of consolidated scientific literature on this topic and the interest of the European Union in funding research in this field under the EBSF_2 umbrella.…”

Section: Advancing Predictive Maintenance Systems For Busesmentioning

confidence: 99%

Testing an innovative predictive management system for bus fleets: outcomes from the Ravenna case study

Corazza

Magnalardo

Musso

et al. 2018

IET Intelligent Transport Systems

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“…Ngigi et al 33 detail the progress in predictive control methods and their relevance to condition monitoring activities related to rail. Such systems can be used to support decisions on when to perform maintenance and renewals tasks.…”

Section: Expert and Decision Support Systemsmentioning

confidence: 99%

A review of key planning and scheduling in the rail industry in Europe and UK

Turner

Tiwari

Starr

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part F:

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Planning and scheduling activities within the rail industry have benefited from developments in computer-based simulation and modelling techniques over the last 25 years. Increasingly, the use of computational intelligence in such tasks is featuring more heavily in research publications. This paper examines a number of common rail-based planning and scheduling activities and how they benefit from five broad technology approaches. Summary tables of papers are provided relating to rail planning and scheduling activities and to the use of expert and decision systems in the rail industry.

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Predictive control strategies used to solve challenges related to modern railway vehicles

Cited by 4 publications

References 14 publications

Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways

Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways

Testing an innovative predictive management system for bus fleets: outcomes from the Ravenna case study

A review of key planning and scheduling in the rail industry in Europe and UK

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