What Is the Effect of Outer Jacket Degradation on the Communication Parameters? A Case Study of the Twisted Pair Cable Applied in the Railway Industry

Grzechca, Damian; Zieliński, Dariusz; Filipowski, Wojciech

doi:10.3390/en14040972

Cited by 7 publications

(13 citation statements)

References 22 publications

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“…Nowadays, serial communication interfaces (e.g., CAN [16]) become widely used in the railway industry, because of the cost efficiency and acceptable transfer rate-a cable of minimum length can be used for connecting of all the devices in bus topology over extensive areas. A general diagram of the wheel detector communication lines topology is shown in Figure 1 [15]. A CPU (i.e., an evaluator) is usually located in a relay room, but wheel detectors (remote units) are mounted on the rails in a distributed manner over long distances.…”

Section: Problem Descriptionmentioning

confidence: 99%

“…A typical protection circuit scheme is presented in Figure 3 . It is excited by the surge generator [ 25 ] and a wayside transmission cable model described in [ 15 ]. The presented surge generator was verified during preliminary tests.…”

Section: Protection Circuit Topology and Its Parameter Domainmentioning

confidence: 99%

“…A wide, but limited, and available range of items are preselected for the purpose of discourse. The analysis is performed based on the use of a communication cable model that is introduced in [ 15 ].…”

Section: Introductionmentioning

confidence: 99%

“…The authors propose a new approach to designing a protection circuit by introducing railway standards to a typical circuit topology and a genetic algorithm for selecting values of elements from the predefined domain. The standard protection circuit topology connected to a wheel detector via a communication cable (the railway cable model is introduced in [ 15 ]) is discussed in the paper. The problem coding is presented in detail together with the limited domain of the values of elements.…”

Section: Introductionmentioning

confidence: 99%

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Selection of Surge Protection Module Components for Communication Lines Using a Genetic Algorithm

Zieliński

Grzechca

2022

Sensors

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Among a variety of problems with communication lines, the faults of surge protection modules in railway applications have a significant impact on the transmission line availability, especially if the devices are located in lightning-prone areas or other high-energy exposure areas, such as voltages or current changes. An advanced optimization of the surge protection module is proposed together with its verification, based on simulated waveforms for components and their limitations (e.g., power, peak power, maximum voltages, maximum currents, etc.). It allows for gathering information about the safety margin for each parameter of the components. This can be used to manage the probability of damage to the protection module. The authors have shown the power distribution during exposure that should be considered while developing new devices for railway transportation industry.

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Section: Problem Descriptionmentioning

confidence: 99%

Section: Protection Circuit Topology and Its Parameter Domainmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Selection of Surge Protection Module Components for Communication Lines Using a Genetic Algorithm

Zieliński

Grzechca

2022

Sensors

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“…In contrast to this work, we investigate underground cables which have a separate set of challenges such as being prone to contamination of foreign materials, corrosion due to water clogs. [21] investigates the outer insulation degradation in shielded twisted pair railway cables and its impact on communication parameters. Our testbeds demonstrate a non-invasive online fault detection and location.…”

Section: Introductionmentioning

confidence: 99%

Measurement-based Condition Monitoring of Railway Signaling Cables

Vijay¹,

Prasad²,

Huo³

et al. 2021

2021 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm)

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We propose a composite diagnostics solution for railway infrastructure monitoring. In particular, we address the issue of soft-fault detection in underground railway cables. We first demonstrate the feasibility of an orthogonal multitone time domain reflectometry based fault detection and location method for railway cabling infrastructure by implementing it using software defined radios. Our practical implementation, comprehensive measurement campaign, and our measurement results guide the design of our overall composite solution. With several diagnostics solutions available in the literature, our conglomerated method presents a technique to consolidate results from multiple diagnostics methods to provide an accurate assessment of underground cable health. We present a Bayesian framework based cable health index computation technique that indicates the extent of degradation that a cable is subject to at any stage during its lifespan. We present the performance results of our proposed solution using real-world measurements to demonstrate its effectiveness.

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Review of fault detection techniques for predictive maintenance

Divya

Bhasi

Kumar

2022

JQME

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PurposeThis study aims to bring awareness to the developing of fault detection systems using the data collected from sensor devices/physical devices of various systems for predictive maintenance. Opportunities and challenges in developing anomaly detection algorithms for predictive maintenance and unexplored areas in this context are also discussed.Design/methodology/approachFor conducting a systematic review on the state-of-the-art algorithms in fault detection for predictive maintenance, review papers from the years 2017–2021 available in the Scopus database were selected. A total of 93 papers were chosen. They are classified under electrical and electronics, civil and constructions, automobile, production and mechanical. In addition to this, the paper provides a detailed discussion of various fault-detection algorithms that can be categorised under supervised, semi-supervised, unsupervised learning and traditional statistical method along with an analysis of various forms of anomalies prevalent across different sectors of industry.FindingsBased on the literature reviewed, seven propositions with a focus on the following areas are presented: need for a uniform framework while scaling the number of sensors; the need for identification of erroneous parameters; why there is a need for new algorithms based on unsupervised and semi-supervised learning; the importance of ensemble learning and data fusion algorithms; the necessity of automatic fault diagnostic systems; concerns about multiple fault detection; and cost-effective fault detection. These propositions shed light on the unsolved issues of predictive maintenance using fault detection algorithms. A novel architecture based on the methodologies and propositions gives more clarity for the reader to further explore in this area.Originality/valuePapers for this study were selected from the Scopus database for predictive maintenance in the field of fault detection. Review papers published in this area deal only with methods used to detect anomalies, whereas this paper attempts to establish a link between different industrial domains and the methods used in each industry that uses fault detection for predictive maintenance.

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What Is the Effect of Outer Jacket Degradation on the Communication Parameters? A Case Study of the Twisted Pair Cable Applied in the Railway Industry

Cited by 7 publications

References 22 publications

Selection of Surge Protection Module Components for Communication Lines Using a Genetic Algorithm

Selection of Surge Protection Module Components for Communication Lines Using a Genetic Algorithm

Measurement-based Condition Monitoring of Railway Signaling Cables

Review of fault detection techniques for predictive maintenance

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