Availability analysis of railway track circuits

Patra, Ambika Prasad; Kumar, Uday

doi:10.1243/09544097jrrt296

Cited by 23 publications

(12 citation statements)

References 3 publications

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“…The safety of a running train depends on an efficient and reliable train detection system for proper signalling and controlling of railway vehicle movements [24]. The track circuit plays a major role in train detection and is still widely used in many countries including India [25, 26]. Besides its fail‐safe operation, there are certain limitations of a track circuit [27].…”

Section: Localisation System On Ir – a Brief Overview And Multisensmentioning

confidence: 99%

Adaptive multisensor data fusion technique for train localisation and detection of accidental train parting

Malakar¹,

Roy²

2018

IET Radar, Sonar & Navigation

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Section: Localisation System On Ir – a Brief Overview And Multisensmentioning

confidence: 99%

Adaptive multisensor data fusion technique for train localisation and detection of accidental train parting

Malakar¹,

Roy²

2018

IET Radar, Sonar & Navigation

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“…Various authors have evaluated the availability and/ or safety of railway signalling systems: Markov Chains, 21 Monte Carlo Simulation 22 and Stochastic Petri Nets 23,24 are suitable approaches for stochastic modelling to evaluate the RAMS of a railway signalling system. RAMS problems are normally concerned with systems that are discrete in space, i.e.…”

Section: Markov Theorymentioning

confidence: 99%

Safety and availability evaluation of railway operation based on the state of signalling systems

Morant

Gustafson

Söderholm

et al. 2016

Proceedings of the Institution of Mechanical Engineers, Part F:

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A framework is presented to evaluate the safety and availability of the railway operation, and quantifying the probability of the signalling system not to supervise the railway traffic. Since a failure of the signalling systems still allows operation of the railway, it is not sufficient to study their effect on the railway operation by considering only the failures and delays. The safety and availability are evaluated, handling both repairs and replacements by using a Markov model. The model is verified with a case study of Swedish railway signalling systems with different scenarios. The results show that the probability of being in a state where operation is possible in a degraded mode is greater than the probability of not being operative at all, which reduces delays but requires other risk mitigation measures to ensure safe operation. The effects that different improvements can have on the safety and availability of the railway operation are simulated. The results show that combining maintenance improvements to reduce the failure rate and increase the repair rate is more efficient at increasing the probability of being in an operative state and reducing the probability of operating in a degraded state.

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“…One way to optimize the track’s operationality is to provide fast and assertive inspections in its components. The most critical component is the signaling and control system, named Track Circuit (TC) [ 1 ]. The TC is a series of circuits installed over the railway that measures the shortages between tracks continuity between circuits.…”

Section: Introductionmentioning

confidence: 99%

Identification and Localization of Track Circuit False Occupancy Failures Based on Frequency Domain Reflectometry

Alvarenga

Cerqueira

Filho

et al. 2020

Sensors

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Railway track circuit failures can cause significant train delays and economic losses. A crucial point of the railway operation system is the corrective maintenance process. During this operation, the railway lines have the circulation of trains interrupted in the respective sector, where traffic restoration occurs only after completing the maintenance process. Depending on the cause and length of the track circuit, identifying and solving the problem may take a long time. A tool that assists in track circuit fault detection during an inspection adds agility and efficiency in its restoration and cost reduction. This paper presents a new method, based on frequency domain reflectometry, to diagnose and locate false occupancy failures of track circuits. Initially, simulations are performed considering simplified track circuit approximations to demonstrate the operation of the proposed method, where the fault position is estimated by identifying the null points and through non-linear regression on signal amplitude response. A field test is then carried out in a track circuit approximately 1500 m long to validate the proposed method. The results show that the proposed method can identify and estimate the fault location due to a short circuit between rails with high accuracy.

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Availability analysis of railway track circuits

Cited by 23 publications

References 3 publications

Adaptive multisensor data fusion technique for train localisation and detection of accidental train parting

Adaptive multisensor data fusion technique for train localisation and detection of accidental train parting

Safety and availability evaluation of railway operation based on the state of signalling systems

Identification and Localization of Track Circuit False Occupancy Failures Based on Frequency Domain Reflectometry

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