Time Based Predictive Maintenance Management of UK Rail Track

Faiz, Rizwan Bin; Singh, Sameer

doi:10.1109/icc.2009.70

Cited by 7 publications

(4 citation statements)

References 4 publications

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“…Faiz and Singh [56] provide a good summary of track geometry faults and suggest that it would be beneficial to move from a maintenance regime based on reacting to faults to a predictive maintenance scheme, but the details of how this should be done are missing. Currently, UGMS make a lot of measurements, but do not do well at the predictive part, that is, predicting how assets will degrade in the future.…”

Section: Monitoring Changes Over Timementioning

confidence: 99%

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Weston

Roberts

Yeo

et al. 2015

Vehicle System Dynamics

183

130

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This paper presents a view of the current state of monitoring track geometry condition from in-service vehicles. It considers technology used to provide condition monitoring; some issues of processing and the determination of location; how things have evolved over the past decade; and what is being, or could/should be done in future research. Monitoring railway track geometry from an in-service vehicle is an attractive proposition that has become a reality in the past decade. However, this is only the beginning. Seeing the same track over and over again provides an opportunity for observing track geometry degradation that can potentially be used to inform maintenance decisions. Furthermore, it is possible to extend the use of track condition information to identify if maintenance is effective, and to monitor the degradation of individual faults such as dipped joints. There are full unattended track geometry measurement systems running on in-service vehicles in the UK and elsewhere around the world, feeding their geometry measurements into large databases. These data can be retrieved, but little is currently done with the data other than the generation of reports of track geometry that exceeds predefined thresholds. There are examples of simpler systems that measure some track geometry parameters more or less directly and accurately, but forego parameters such as gauge. Additionally, there are experimental systems that use mathematics and models to infer track geometry using data from sensors placed on an in-service vehicle. Finally, there are systems that do not claim to measure track geometry, but monitor some other quantity such as ride quality or bogie acceleration to infer poor track geometry without explicitly measuring it.

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Section: Monitoring Changes Over Timementioning

confidence: 99%

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Weston

Roberts

Yeo

et al. 2015

Vehicle System Dynamics

183

130

View full text Add to dashboard Cite

show abstract

“…In turn, this same permanent way has a position in the space, called track geometry, which is the spatial position of the rail track. According to Faiz and Singh (2009), the "X-axis" of the track represents the distance along the direction of travel, "Y" is the axis parallel to the running top rail (surface), and "Z" defines the axis perpendicular to the running permanent way. Each rail has 2 degrees of freedom, and these 4 degrees of freedom are normally replaced by an equivalent system consisting of cant, level, alignment, gauge, and twist (Esveld, 2001), which represent track geometry.…”

Section: Introductionmentioning

confidence: 99%

“…On the other hand, according to Vale and Ribeiro (2014) the second group of measurable parameters, namely geometry degradation is random by nature. The geometry of the permanent way is the position of the railway track in three-dimensional space (Faiz and Singh, 2009). According to Vale and Ribeiro (2014), track degradation is the decrease in quality of geometrical parameters (i.e., longitudinal and transversal level, gauge, twist, and cant) over a period of time.…”

Section: Introductionmentioning

confidence: 99%

Methods to Monitor and Evaluate the Deterioration of Track and Its Components in a Railway In-Service: A Systemic Review

Melo

Kaewunruen

Papaelias

et al. 2020

Front. Built Environ.

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When planning a new track or improving a track that is currently in-service, it is important to predict the probable rate of track deterioration as a function of the variables related to the train and its periodicity. This literature review reveals that there are currently no track deterioration methods available analyze the condition of a railway track. A prediction of deterioration requires accurate quantification of each track component and track geometry behavior and a better knowledge of interactions between components and geometry. This extended survey found more than 100 methods (or studies) related to track deterioration, including other literature reviews, but very few of these methods work when several track deterioration issues occur. This paper aims to build upon these, adopting a methodology for a systematic critical literature review that identifies, evaluates, and classifies these primary studies to predict the track deterioration according to criteria of assessment. Finally, it establishes the gaps and the challenges that will need to be overcome in future research.

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“…This failed or fault equipment can be replaced or restored to an operational condition within the limits established for in-service operations [5,6]. Predictive maintenance techniques are commonly designed in order to determine and predict the condition of failures and detailed forecast is ensured and this approach helps the companies in saving cost [7,8].…”

Section: Introductionmentioning

confidence: 99%

Reliability Centered Maintenance Used in Metro Railways

Singh¹,

Suresha²,

Sachidananda³

2020

JESA

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In transportation industries, railways are one of the backbones of transportation in countries like India, china, Russia, UK, Australia and other parts of the world. This railway transportation business is very huge, and the operation and maintenance of these equipment's are very tough. Hence, the operation and maintenance organization are looking for optimization of the processes in order to reduce cost. They are using different techniques to reduce the operational as well as maintenance cost. In this research paper the main aim is to optimize the remote condition maintenance equipment used in the railway systems and to discuss the benefits of implementation of the remote condition monitoring equipment's. This process of optimization helps in early detection of failures so the equipment downtime can be minimized, and productivity can be maximized.

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Time Based Predictive Maintenance Management of UK Rail Track

Cited by 7 publications

References 4 publications

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Perspectives on railway track geometry condition monitoring from in-service railway vehicles

Methods to Monitor and Evaluate the Deterioration of Track and Its Components in a Railway In-Service: A Systemic Review

Reliability Centered Maintenance Used in Metro Railways

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