This paper undertakes a reliability study using Bayesian survival analysis framework to explore the impact of locomotive wheel's installed position on its service lifetime and predict characteristics. The Exponential Regression Model, Weibull Model Log‐normal are used analyze wheels degradation data taking into account wheel. is described by three different discrete covariates: bogie, axle side where wheel mounted. goal determine reliability, failure distribution optimal maintenance...

The capacity demands on railways will increase in the future, as for a robust and available system. availability of railway system is dependent condition its infrastructure rolling stock. To inspect stock so to prevent damage track due faulty wheels, managers normally install wayside monitoring systems along track. Such indicate, example, wheels that fall outside defined safety limits have be removed from service further Due nature many systems, which only monitor vehicles at points track,...

Many railway assets, such as wheels, suffer from increasing deterioration during operation. Good condition monitoring based on good decision-making techniques can lead to accurate assessment of the current health wheels. This, in turn, will improve safety, facilitate maintenance planning and scheduling, reduce costs down-time. In this paper, wheel/rail forces are selected a parameter (feature) for wheel health. Once wheels properly thresholded, determining their help operators define limits...

Purpose The purpose of this paper is to present a framework for maintenance analytics that useful the assessment rail condition and decision support. covers three essential aspects: diagnostic, prediction prescription. also presents principal component analysis (PCA) local outlier factor methods detecting anomalous wear occurrences using field measurement data. Design/methodology/approach approach used in includes review concept appropriate adaptation railway infrastructure maintenance....

Railway transport system is massive and complex, as such it requires effective maintenance to achieve the business goal of safe, economic sustainable transportation passengers goods. The growing demand for improved service quality capacity target by railway infrastructure managers appropriate analysis facilitate continuous improvement performance. This paper presents application risk matrix a method identification track zones that are bottlenecks limit operational quality. Furthermore, an...

The Iron Ore Line (Malmbanan) is a 473 km long track section located in northern Sweden and has been operation since 1903. This stretches through two countries, namely Norway, the main part of runs on Swedish side, where owner Government infrastructure manager Trafikverket (the Transport Administration). ore trains are owned managed by freight operator mining company LKAB. Due to high axle load exerted transportation iron ore, 30 tonnes, demand for constant flow pellets, wagons must be...

The assessment and analysis of railway infrastructure capacity is an essential task in management carried out to meet the required quality demand transport. For sustainable dependable management, it important assess limitation from point view performance. However, existence numerous performance indicators often leads diffused information that not a format suitable support decision making. In this paper, we demonstrated use fuzzy inference system for aggregating selected relate maintenance...

A reliability study based on a Bayesian semi-parametric framework is performed in order to explore the impact of position locomotive wheel its service lifetime and predict other characteristics. piecewise constant hazard regression model used analyse wheels using degradation data taking into account bogie which located. Gamma frailties are included this unobserved covariates within same group. The goal flexibly determine for wheel. case Markov chain Monte Carlo methods following conclusions...

Abstract Purpose The purpose of this paper is to investigate the failure-driven capacity consumption wheels on track, determine whether there are some relations vehicle wheel configurations that show a larger amount failures, and ascertain influence temperature travelling direction train number events. This information can be used develop prognostic health management so more track gained without modifications, re-building or re-investments. Design/methodology/approach presents study 1,509...

Quantification of MRS spectra is a challenging problem when large baseline present along with low signal to noise ratio. This work investigates robust fitting technique that yields accurate peak areas under these conditions. Using simulated long echo time (1)H ratio and component, both the accuracy reliability fit in frequency domain were greatly improved by reducing number fitted parameters making full use all known information concerning Voigt lineshape. an appropriate first order...

This paper deals with field validation of the force response from a defective wheel after normal service. The represents typical defect arising winter operation in cold climate. current detector is load impact that has been use for about fifteen years; this type widely used infrastructure. defects up to1.8 mm depth and an un-roundness 0.2 mm. results investigation, pertaining to particular vehicle defect, show linear correlation speed response. Each change 1 km/h changes by 0.9 kN.

Abstract Climate change and its severe impacts pose a number of challenges to transport infrastructure, particularly railway requiring immediate action. A system is linear distributed asset passing different geographical locations exposed heterogeneous vulnerabilities under diverse environmental conditions. Furthermore, most the infrastructure assets were designed built without in-depth analysis future climate impacts. This paper considers effects extreme temperatures on urban assets,...

This article summarizes the experiences gained at Nordic heavy haul line “Malmbanan” located in Northern Sweden and Norway during years 2007 to 2015 resulting best practice. Unique long-term information of field trials monitoring from on-going development for maintenance rail wheel has been described. The reported results come profile measurements using MiniProf HC-recordings with Eddy-current devices visual inspection on 43 test sections. continuous since project started, reveal a deep...

This paper undertakes a reliability study using both classical and Bayesian semi-parametric frameworks to explore the impact of locomotive wheel's position on its service lifetime predict other characteristics. The goal is illustrate how degradation data can be modeled analyzed by approaches. adopted in case have been collected from Swedish company. results show that: 1) an exponential path better choice for studied wheels; 2) approaches are useful tools analysis data; 3) under given...

This paper proposes a new approach to study reliability of locomotive wheels with Bayesian framework, utilizing wheel degradation data sets that can be small or incomplete. In our study, linear path is assumed and wheels' installation positions are considered as covariates. A Markov Chain Monte Carlo (MCMC) computational method also implemented. the case were collected from Swedish railway company. includes, diameter measurements wheels, total distances corresponding their "time...

This study examines the accuracy of a wayside train wheel profile measurement system. was accomplished by an evaluation contact-point function for wheel–rail interface. The system in question generates data about profiles passing trains. These are used improving maintenance procedures rolling stock operator. Recent work shows that there differences between from two different units system, but how this influences further use data, e.g. contact analysis, has not been investigated so far....