Benefit of railway infrastructure diagnosis systems on its availability

Quiroga, Lisandro M.; Wegele, Stefan; Schnieder, Eckehard

doi:10.3182/20090610-3-it-4004.00030

Cited by 4 publications

(3 citation statements)

References 3 publications

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“…Kaakai et al presented a simulation model based on hybrid Petri nets able to help transit authorities in performance evaluation procedures aimed to prevent railway accidents [17]. Quiroga et al proposed a Petri net based modeling method for the Monte Carlo simulation for railway infrastructure diagnosis work [18]. Marrone et al provided a joint application of two model-driven techniques for physical and cyber-security evaluation [19].…”

Section: Introductionmentioning

confidence: 99%

A Petri Net Model of Train Operation Simulation for Harmonizing Train Timetables of Neighbor Dispatching Sections

Meng

Jia

Xiang³

2018

PROMET

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Train timetable is the key document to regulate railway traffic through sequencing train movements to keep the appropriate order. Timetable stability and on-schedule rate are closely related. Delays caused by disturbances in train operations can be absorbed by a high quality timetable with high stability, and the on-schedule rate then can be assured. This paper improves the stability of timetables of several connected railway sections to assure the on-schedule rate with a simulation method. Firstly, we build a macroscopic network model of train operation in a railway network using the Petri net theory. Then we design the train tracking subnet model, the station subnet model and arrival-departure track subnet model. At last we propose a computing case, simulating the train operation process based on the presented models, and the simulation results prove the feasibility and availability of the models. The approach presented in this paper can offer valuable decision-support information for railway operators preparing train timetables.

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Section: Introductionmentioning

confidence: 99%

A Petri Net Model of Train Operation Simulation for Harmonizing Train Timetables of Neighbor Dispatching Sections

Meng

Jia

Xiang³

2018

PROMET

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“…Fault diagnosis methods [ 1 , 2 ] have been widely applied in many applications such as roller bearings [ 3 ], gearboxes [ 4 ], wind turbines [ 5 ], and tool wear [ 6 ] by using various sensor signals such as vibration [ 7 ]. Recently, fault diagnosis results have been reported for railway applications [ 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 ] because maintenance of the constituent components of the railway is important to ensure that the train can be safely driven. The railway point machine (RPM)—consisting of a motor, reduction gear, several bearings, derive-detection rods, and switches [ 8 ]—is an especially important component that changes the traveling direction of a train.…”

Section: Introductionmentioning

confidence: 99%

Replacement Condition Detection of Railway Point Machines Using an Electric Current Sensor

Choi

Chung

et al. 2017

Sensors

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Detecting replacement conditions of railway point machines is important to simultaneously satisfy the budget-limit and train-safety requirements. In this study, we consider classification of the subtle differences in the aging effect—using electric current shape analysis—for the purpose of replacement condition detection of railway point machines. After analyzing the shapes of after-replacement data and then labeling the shapes of each before-replacement data, we can derive the criteria that can handle the subtle differences between “does-not-need-to-be-replaced” and “needs-to-be-replaced” shapes. On the basis of the experimental results with in-field replacement data, we confirmed that the proposed method could detect the replacement conditions with acceptable accuracy, as well as provide visual interpretability of the criteria used for the time-series classification.

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“…Antoni 4 compares age-based replacement polices for signalling system. Quiroga and colleagues 5,6 consider imperfect tamping models for an age-based maintenance. The maintenance models mentioned above are based on the failure models assuming that the track deteriorates with time only.…”

Section: Introductionmentioning

confidence: 99%

Delayed maintenance modelling considering speed restriction for a railway section

Shang

Bérenguer

Andrews

2017

Proceedings of the Institution of Mechanical Engineers, Part O:

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International audienceThe deterioration of track geometry depends on several factors of which the speed of the train is one. Imposing a speed restriction can slow down the track deterioration and allows a longer survival time before a serious condition is achieved. Preventive maintenance delays can be authorized during the survival time. However, speed restrictions also reduce the system throughput. On the other hand, a longer interval between preventive maintenance activities has a lower maintenance action cost and it also enables grouping the maintenance activities to save set-up costs as well as sys- tem downtime. If the repair delay is too long, it may cause unacceptable conditions on the track and lead to higher main- tenance costs and accidents. Therefore, it is interesting to assess the effect of a speed restriction on the delayed maintenance strategies for a railway track section. We want to solve a maintenance optimization problem to find the optimal tuning of the maintenance delay time and imposition of a speed restriction. To this aim, a delayed maintenance model is developed, in which track deterioration depends on the train speed and the number of passing trains. The model is used to determine an optimal speed restriction strategy and a preventive repair delay for the optimization of the system benefit and unavailability. Coloured Petri Nets are adopted to model the maintenance and operation of the railway track section. The Coloured Petri Net model describes the gradual track deterioration as a stochastic process. Different speed restriction policies and maintenance delay strategies are modelled and activated by the observed compo- nent states. Monte Carlo simulations are carried out to estimate the maintenance cost, the system benefit and the sys- tem downtime under different policies. Numerical results show the maintenance decision variable trade-off

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Benefit of railway infrastructure diagnosis systems on its availability

Cited by 4 publications

References 3 publications

A Petri Net Model of Train Operation Simulation for Harmonizing Train Timetables of Neighbor Dispatching Sections

A Petri Net Model of Train Operation Simulation for Harmonizing Train Timetables of Neighbor Dispatching Sections

Replacement Condition Detection of Railway Point Machines Using an Electric Current Sensor

Delayed maintenance modelling considering speed restriction for a railway section

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