A Systematic Review of Artificial Intelligence Public Datasets for Railway Applications

Pappaterra, Mauro José; Flammini, Francesco; Vittorini, Valeria; Bešinović, Nikola

doi:10.3390/infrastructures6100136

Cited by 34 publications

(13 citation statements)

References 39 publications

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“…[96,97]. The integration of train rolling bearing diagnosis technologies and the integration of different types of data can be further strengthened to improve the train failure database [140]; (2) Anti-interference processing. From various tests in the fault diagnosis research, it is obvious that the noise reduction of the complex environment and strong interference in train operation directly affects the quality of the sensor data.…”

Section: Discussionmentioning

confidence: 99%

A Survey on Fault Diagnosis Approaches for Rolling Bearings of Railway Vehicles

Yan

Jiang²,

Bai

et al. 2022

Processes

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This paper reviews the current research status of rolling bearing fault diagnosis technology for railway vehicles. Several domains are covered, including vibration fault diagnosis, acoustic signal fault diagnosis, and temperature prediction diagnosis methods on train rolling bearing test principles and related research. The application scenarios, system diagnosis accuracies, and model structures of various studies in the literature are also compared and analyzed. Furthermore, the main technical points to be improved and the analysis of the possible research directions are proposed, which provide new research ideas for subsequent fault diagnosis methods and system innovation research and development.

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Section: Discussionmentioning

confidence: 99%

A Survey on Fault Diagnosis Approaches for Rolling Bearings of Railway Vehicles

Yan

Jiang²,

Bai

et al. 2022

Processes

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“…A dataset of cyber incidents was acquired from data.world (https://data.world), a US-based company that is claimed to be "the largest open data community in the world" [22]. The data on data.world were collaboratively collected, shared and sometimes sold to corporate that would like to use them for research or solving business problems.…”

Section: Methodsmentioning

confidence: 99%

The Evolution of Cyberattack Motives

Boonkrong¹,

Prompunjai²,

Watcharawongbodee³

et al. 2022

Int. J. Adv. Sci. Eng. Inf. Technol.

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A cyberattack can be defined as an action aiming to cause damages and losses to computer networks, information systems, and even personal devices and data. Many professionals and organizations have put a lot of effort and resources into preventing cyberattacks based on how they occur, their targets, and what damages they can cause. However, one of the aspects that are often overlooked and one of the reasons that cyberattacks are successfully carried out is the fact that the nature of attackers' motivations is not fully understood. Therefore, this research examines the main reasons for cyberattacks to be carried out by adversaries and the motives behind cyberattacks. Specifically, we studied over 7,700 cyber records and events between 2006 and 2018, including data breaches, privacy violations, and cyber incidents, to learn how attack motives have evolved over the years. The analyses of the data were mainly carried out using descriptive analysis. Our study found that the early cyberattacks were mainly financially motivated. However, in the later years, the cyberattack motives included espionage, ideology, and skill and knowledge testing. This implies that the motives behind cyberattacks became more varied in terms of types, proportions, and correlations between them. It is hoped and expected that the results of the analyses will be helpful to various stakeholders in such a way that they will better understand the reasons and motivations for cyberattacks.

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“…Train mass, tractive wheels rotation speed and energy consumption measurements could be a plus that would allow for more flexibility in new calibration techniques. Up to the authors knowledge, there are no such publicly available datasets for operating trains [88].…”

Section: B Practical Recommendations 1) a Public Dataset For Model Va...mentioning

confidence: 99%

A Literature Review on Train Motion Model Calibration

Cunillera

Bešinović

Lentink

et al. 2023

IEEE Trans. Intell. Transport. Syst.

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The dynamics of a moving train are usually described by means of a motion model based on Newton's second law. This model uses as input track geometry data and train characteristics like mass, the parameters that model the running resistance, the maximum tractive effort and power, and the brake rates to be applied. It can reproduce and predict train dynamics accurately if the mentioned train characteristics are carefully calibrated. The model constitutes the core element of a broad variety of railway applications, from timetabling tools to Driver Advisory Systems and Automatic Train Operation. Among the existing train motion model calibration techniques, those that use operational data are of particular interest, as they benefit from on-board recorded data, capturing the train dynamics during operation. In this literature review article we provide an overview of the train motion model calibration techniques that have been published in the scientific literature between January 2000 and December 2021 and either use operational data or can be minimally adapted to use it. To this end, we present a critical overview of the existing train motion model calibration approaches, distinguishing online calibration that analyzes data on-the-go and offline calibration that analyzes historical data batchwise. We propose a research agenda and highlight some potential goals to be tackled in the near future: from devising accurate online calibrators for eco-driving applications to quantitizing the physical sources of parameter variation. Last, we discuss practical recommendations for practitioners and scholars inferred from the current state of the art.

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A Systematic Review of Artificial Intelligence Public Datasets for Railway Applications

Cited by 34 publications

References 39 publications

A Survey on Fault Diagnosis Approaches for Rolling Bearings of Railway Vehicles

A Survey on Fault Diagnosis Approaches for Rolling Bearings of Railway Vehicles

The Evolution of Cyberattack Motives

A Literature Review on Train Motion Model Calibration

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