Change search
Link to record
Permanent link

Direct link
BETA
Asplund, Matthias
Publications (10 of 46) Show all publications
Asplund, M. & Rantatalo, M. (2018). Evaluation of wheel profile measurements by means of the contact-point function for the wheel-rail interface. Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, 232(4), 1225-1239
Open this publication in new window or tab >>Evaluation of wheel profile measurements by means of the contact-point function for the wheel-rail interface
2018 (English)In: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 232, no 4, p. 1225-1239Article in journal (Refereed) Published
Abstract [en]

This study examines the accuracy of a wayside train wheel profile measurement system. This was accomplished by an evaluation of the contact-point function for the wheel–rail interface. The wheel profile measurement system in question generates data about the wheel profiles of passing trains. These data are used for improving the wheel maintenance procedures for the rolling stock operator. Recent work shows that there are differences between the data from the two different units in the system, but how this influences further use of the data, e.g. in wheel–rail contact analysis, has not been investigated so far. Accordingly, this article shows how two key wheel measures (the wheel flange thickness and the wheel profile) impact on the contact-point function and which of these measures has the largest impact on the contact-point function. The data used in this study were generated by two different measurement units for the same wheel and with the same wheel status. The results show that the different units produce different results and that these differences are more prominent when a difference in the flange thickness is detected, with a resulting shift of the front side of the flange and of the tread. With no difference in the flange thickness, i.e. no shift of the front side of the flange and of the tread, a difference was still detected in the contact conditions. Furthermore, this investigation shows that the shape of the tread has a greater impact on the contact-point conditions compared to a change in the flange thickness of up to 2.5 mm. This difference in the tread shape could have originated in measurement noise or different wheel measurement positions. The results of the study also show the importance of managing the measurement quality before using the data, for example for maintenance decisions.

Place, publisher, year, edition, pages
Sage Publications, 2018
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-60150 (URN)10.1177/0954409717714353 (DOI)000429914700021 ()
Funder
Swedish Transport Administration
Note

Validerad;2018;Nivå 2;2018-04-12 (rokbeg)

Available from: 2016-11-04 Created: 2016-11-04 Last updated: 2018-04-26Bibliographically approved
Asplund, M., Famurewa, S. M. & Schoech, W. (2017). A Nordic heavy haul experience and best practices. Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, 231(7), 794-804
Open this publication in new window or tab >>A Nordic heavy haul experience and best practices
2017 (English)In: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 231, no 7, p. 794-804Article in journal (Refereed) Published
Abstract [en]

This article summarizes the experiences gained at the Nordic heavy haul line “Malmbanan” located in Northern Sweden and Norway during the years 2007 to 2015 and the resulting best practice. Unique long-term information of field trials and monitoring from the on-going development for maintenance of rail and wheel has been described. The reported results come from the rail profile measurements using MiniProf and HC-recordings with Eddy-current devices and visual inspection on 43 test sections. The monitoring has been continuous since the project started, to reveal a deep insight into the complex wheel–rail interaction and provide understanding of the effect of applying optimized specifications. This was particularly important in view of the increasing traffic load that contributed to doubling of the yearly grinding campaigns. This article presents in particular the new MB5 profile, the wear rate behaviour between two different curves, impacts of gauge widening on rail rolling contact fatigue and the speed of gauge widening as well as the seasonal impact on the crack propagation. The presently applied maintenance strategy is discussed together with other experiences. The article finishes with some conclusions and an outlook into further work.

Place, publisher, year, edition, pages
Sage Publications, 2017
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-62807 (URN)10.1177/0954409717699468 (DOI)000407122100005 ()2-s2.0-85026881475 (Scopus ID)
Note

Validerad;2017;Nivå 2;2017-08-14 (rokbeg)

Available from: 2017-03-30 Created: 2017-03-30 Last updated: 2018-07-10Bibliographically approved
Famurewa, S. M., Zhang, L. & Asplund, M. (2017). Maintenance analytics for railway infrastructure decision support. Journal of Quality in Maintenance Engineering, 23(3), 310-325
Open this publication in new window or tab >>Maintenance analytics for railway infrastructure decision support
2017 (English)In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 23, no 3, p. 310-325Article in journal (Refereed) Published
Abstract [en]

Purpose

This purpose of this article is to present a framework for maintenance analytics that is useful for the assessment of rail condition and for maintenance decision support. The framework covers three essential maintenance aspects: diagnostic, prediction and prescription. The article also presents principal component analysis (PCA) and local outlier factor (LOF) methods for detecting anomalous rail wear occurrences using field measurement data.

Design/methodology/approach

The approach used in this paper includes a review of the concept of analytics and appropriate adaptation to railway infrastructure maintenance. The diagnotics aspect of the proposed framework is demonstrated with a case study using historical rail profile data collected between 2007 and 2016 for 9 sharp curves on the heavy haul line in Sweden.

Findings

The framework presented for maintenance analytics is suitable for extracting useful information from condition data as required for effective rail maintenance decision support. The findings of the case study include: combination of the two statistics from PCA model (T2 and Q) can help to identify systematic and random variations in rail wear pattern that are beyond normal: the visualisation approach is a better tool for anomaly detection as it categorises wear observations into normal, suspicious and anomalous observations.

Practical implications

A practical implication of this article is that the framework and the diagnostic tool can be considered as an integral part of eMaintenance solution. It can be easily adapted as online or onboard maintenance analytic tool with data from automated vehicle based measurement system.

Originality/value

This research adapts the concept of analytics to railway infrastructure maintenance for enhanced decision making. It proposes a graphical method for combining and visualising different outlier statistics as a reliable anomaly detection tool.

Place, publisher, year, edition, pages
Emerald Group Publishing Limited, 2017
National Category
Reliability and Maintenance Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-65099 (URN)10.1108/JQME-11-2016-0059 (DOI)2-s2.0-85027972757 (Scopus ID)
Note

Validerad;2017;Nivå 2;2017-08-28 (andbra)

Available from: 2017-08-15 Created: 2017-08-15 Last updated: 2018-06-25Bibliographically approved
Asplund, M., Palo, M., Famurewa, S. M. & Rantatalo, M. (2016). A study of railway wheel profile parameters used as indicators of an increased risk of wheel defects (ed.). Paper presented at . Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, 230(2), 323-334
Open this publication in new window or tab >>A study of railway wheel profile parameters used as indicators of an increased risk of wheel defects
2016 (English)In: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 230, no 2, p. 323-334Article in journal (Refereed) Published
Abstract [en]

The capacity demands on the railways will increase in the future, as well as the demands for a robust and available system. The availability of the railway system is dependent on the condition of the infrastructure and the rolling stock. To inspect the rolling stock and to prevent damage to the track due to faulty wheels, infrastructure managers normally install wayside monitoring systems along the track. Such systems indicate, for example, wheels that fall outside the defined safety limits and have to be removed from service to prevent further damage to the track. Due to the nature of many wayside monitoring systems, which only monitor vehicles at definite points along the track, damage may be induced on the track prior to fault detection at the location of the system. Such damage can entail capacity-consuming speed reductions and manual track inspections before the track can be opened for traffic again. The number of wheel defects must therefore be kept to a minimum. In this paper wheel profile parameters measured by a wayside wheel profile measurement system, installed along the Swedish Iron Ore Line, are examined and related to warning and alarm indications from a wheel defect detector installed on the same line. The study shows that an increased wheel wear, detectable by changes in the wheel profile parameters could be used to reduce the risk of capacity-consuming wheel defect failure events and its reactive measures.

National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-11827 (URN)10.1177/0954409714541953 (DOI)000368600500001 ()2-s2.0-84954348350 (Scopus ID)ad81ec6f-eb97-4226-a5fd-9b81eb39b186 (Local ID)ad81ec6f-eb97-4226-a5fd-9b81eb39b186 (Archive number)ad81ec6f-eb97-4226-a5fd-9b81eb39b186 (OAI)
Note
Validerad; 2016; Nivå 2; 20131210 (matasp)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Asplund, M., Lin, J. & Rantatalo, M. (2016). Assessment of the data quality of wayside wheel profile measurements (ed.). International Journal of COMADEM, 19(3), 19-25
Open this publication in new window or tab >>Assessment of the data quality of wayside wheel profile measurements
2016 (English)In: International Journal of COMADEM, ISSN 1363-7681, Vol. 19, no 3, p. 19-25Article in journal (Refereed) Published
Abstract [en]

To evaluate the behaviour and the condition of a railway wheel in relation to performance and safety criteria, the wheel profile can be measured. This can be achieved using manual methods or automatic systems mounted along the railway track. Such systems have the advantage that they can measure a vast number of profiles, enabling new possibilities of performing statistical analyses of the results and pinpointing bad wheels at an early stage. These wayside measurement systems are, however, subjected to different environmental conditions that can affect the data quality of the measurement. If one is to be able to use automatic wheel profile measurements, the data quality has to be controlled in order to facilitate maintenance decisions. This paper proposes a method for the data quality assessment of an automatic wayside condition monitoring system measuring railway rolling stock wheels. The purpose of the assessment method proposed in this paper is to validate individual wheel profile measurements to ensure the accuracy of the wheel profile measurement data and hence the following data analysis. The method consists of a check routine based on the paired t-test, which uses a hypothesis test to verify if the null hypotheses are true. The check routine compares measurements of passing wheels rolling to a certain destination with measurements of the same wheels returning from that destination. The routine of comparing measurements of the same wheel, which is performed by four sensors (one on each side of each rail), will ensure that the sensors generate the same data for the same sample. A case study is presented which shows how the method can detect a faulty setup of the measurement system and prevent incorrect interpretations of the data from different measurement units in the same system. The paper ends with a discussion and conclusions concerning the improvements that are presented.

National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-10887 (URN)2-s2.0-84987680545 (Scopus ID)9c3cbb22-ce80-4a35-8f12-e4f456f6a51b (Local ID)9c3cbb22-ce80-4a35-8f12-e4f456f6a51b (Archive number)9c3cbb22-ce80-4a35-8f12-e4f456f6a51b (OAI)
Note

Validerad; 2016; Nivå 1; 2016-10-26 (inah)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-24Bibliographically approved
Asplund, M., Rantatalo, M., Johnsson, R. & Hiensch, M. (2016). Combating curve squeal noise (ed.). In: (Ed.), Combating curve squeal noise: . Paper presented at World Congress of Railway Research : 29/05/2016 - 02/06/2016.
Open this publication in new window or tab >>Combating curve squeal noise
2016 (English)In: Combating curve squeal noise, 2016Conference paper, Published paper (Refereed)
Abstract [en]

Society demand for more sustainable transports is increasing, starting a modal shift from road to railway. The resulting increase in railway traffic intensity is leading to more activities on the track, even during the night time. For many years continuous urbanization has been resulting in a higher density of residents in areas close to railway tracks. The combination of these factors is raising the issue of noise disturbances from railway transports, which is forcing infrastructure managers to take action to combat noise from railway traffic systematically. There are different types of noise emanating from railways and one of the most annoying is curve squeal noise. This paper deals with the curve squeal phenomenon, the places where it occurs, and different methods for reducing it. The curving behaviour of a vehicle plays an important role in the generation of curve squeals, and therefore the way in which different rail profiles affect the capability to steer in a sharp curve is dealt within this paper. The paper is based on two case studies with investigated curves in urban regions that suffer from squeal noise, and in which comparisons between measurements and simulations were performed. The outcome of these studies is a workflow for combating squeal noise, results concerning the effects of a top-of-rail friction modifier on noise mitigation, and a proposed rail profiles for improving the steering capability of vehicles.

National Category
Other Civil Engineering Fluid Mechanics and Acoustics
Research subject
Operation and Maintenance; Engineering Acoustics
Identifiers
urn:nbn:se:ltu:diva-30197 (URN)3f064eb1-850b-4505-bc0c-a88eca0a1554 (Local ID)3f064eb1-850b-4505-bc0c-a88eca0a1554 (Archive number)3f064eb1-850b-4505-bc0c-a88eca0a1554 (OAI)
Conference
World Congress of Railway Research : 29/05/2016 - 02/06/2016
Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved
Asplund, M., Famurewa, S. M. & Rantatalo, M. (2016). Data quality assessment of automatic wheel profile measurement systems (ed.). In: (Ed.), Uday Kumar; Alireza Ahmadi; Ajit Kumar Verma; Prabhakar Varde (Ed.), Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective. Paper presented at International Conference ICRESH-ARMS 2015 : 01/06/2015 - 04/06/2015 (pp. 717-738). Encyclopedia of Global Archaeology/Springer Verlag
Open this publication in new window or tab >>Data quality assessment of automatic wheel profile measurement systems
2016 (English)In: Current Trends in Reliability, Availability, Maintainability and Safety: An Industry Perspective / [ed] Uday Kumar; Alireza Ahmadi; Ajit Kumar Verma; Prabhakar Varde, Encyclopedia of Global Archaeology/Springer Verlag, 2016, p. 717-738Conference paper, Published paper (Refereed)
Abstract [en]

The aim of this paper is to present a method for the quality assessment of data from a condition monitoring system for rolling stock wheels to ascertain if the data have the right quality to be used for further analyses. This quality assessment will also show if there are variations between different measurement units for the same system, and if there are relations between different wheel parameter measurements, speed and time. The assessment of data is accomplished using the quality dimension freedom of error. There are two different data sources, namely an automatic wheel profile measurement system and a manual wheel profile measurement device. The manual measurements of wheel profiles are used for verifying the accuracy of the automatic wheel profile measurements, which constitute the larger data set. The proposed method for evaluating the data quality is demonstrated using the data from a specific condition monitoring system. The results show some inconsistencies indicating that this system lacks quality in the dimension of freedom of error and that there is need for internal calibration or self-adjustment of the studied system for quality reasons.

Place, publisher, year, edition, pages
Encyclopedia of Global Archaeology/Springer Verlag, 2016
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-31729 (URN)10.1007/978-3-319-23597-4_53 (DOI)2-s2.0-85043784865 (Scopus ID)5fc90782-d423-44ff-a82b-75c3bfb338b4 (Local ID)978-3-319-23596-7 (ISBN)978-3-319-23597-4 (ISBN)5fc90782-d423-44ff-a82b-75c3bfb338b4 (Archive number)5fc90782-d423-44ff-a82b-75c3bfb338b4 (OAI)
Conference
International Conference ICRESH-ARMS 2015 : 01/06/2015 - 04/06/2015
Note

Godkänd; 2016; Bibliografisk uppgift: Containing selected papers from the ICRESH-ARMS 2015 conference in Lulea, Sweden, collected by editors with years of experiences in Reliability and maintenance modeling, risk assessment, and asset management, this work maximizes reader insights into the current trends in Reliability, Availability, Maintainability and Safety (RAMS) and Risk Management. Featuring a comprehensive analysis of the significance of the role of RAMS and Risk Management in the decision making process during the various phases of design, operation, maintenance, asset management and productivity in Industrial domains, these proceedings discuss key issues and challenges in the operation, maintenance and risk management of complex engineering systems and will serve as a valuable resource for those in the field. ; 20151223 (andbra)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-06-25Bibliographically approved
Asplund, M. & Lin, J. (2016). Evaluating the measurement capability of a wheel profile measurement system by using GR&R (ed.). Measurement, 92, 19-27
Open this publication in new window or tab >>Evaluating the measurement capability of a wheel profile measurement system by using GR&R
2016 (English)In: Measurement, ISSN 0263-2241, E-ISSN 1873-412X, Vol. 92, p. 19-27Article in journal (Refereed) Published
Abstract [en]

Reliable data with less variation play a key role for acceptance of the usefulness of the measurement output of a wheel profile measurement system (WPMS) in a railway network. However, in practice, most studies are carried out without checking the reliability of data from such a system, which may lead to inappropriate maintenance strategies. To ensure the measurement capability of WPMS and to support robust maintenance in railway systems, this study has evaluated measurement data for the flange height, flange thickness, flange slope, and tread hollowing of rolling stock wheels by using gauge repeatability and reproducibility (GR&R). In this study, acceptance and rejection criteria for the precision-to-tolerance ratio (PTR), signal-to-noise ratio (SNR), and discrimination ratio (DR) have been employed to evaluate the measurement capabilities. For the purpose of illustration, we have implemented a new proposed approach. This approach involves both an analysis using graphs with four regions with a confidence interval (CI) of 95% and an analysis using a graph with three regions with only the predicted values; the latter type of graph represents an innovation made in this study. The results show that the measurements of the tread hollowing and flange slope are on an acceptable level, while those for the flange height and flange thickness have to be rejected as unacceptable. The action proposed to increase the quality of data on the flange height and flange thickness is to enhance the calibration of the WPMS. In conclusion, GR&R is a useful tool to evaluate the measurement capability of WPMS and to provide helpful support for maintenance decision making.

Abstract [en]

Reliable data with less variation play a key role for acceptance of the usefulness of the measurement output of a wheel profile measurement system (WPMS) in a railway network. However, in practice, most studies are carried out without checking the reliability of data from such a system, which may lead to inappropriate maintenance strategies. To ensure the measurement capability of WPMS and to support robust maintenance in railway systems, this study has evaluated measurement data for the flange height, flange thickness, flange slope, and tread hollowing of rolling stock wheels by using gauge repeatability and reproducibility (GR&R). In this study, acceptance and rejection criteria for the precision-to-tolerance ratio (PTR), signal-to-noise ratio (SNR), and discrimination ratio (DR) have been employed to evaluate the measurement capabilities. For the purpose of illustration, we have implemented a new proposed approach. This approach involves both an analysis using graphs with four regions with a confidence interval (CI) of 95% and an analysis using a graph with three regions with only the predicted values; the latter type of graph represents an innovation made in this study. This graph has the advantages that it can visualize three different levels of data quality in same figure, namely “unacceptable”, “acceptable” and “good”, and also include a number of measures without becoming unclear, which are features that have been missing in previous presentations. The results show that the measurements of the flange slope are on an acceptable level, while those for the flange height, flange thickness and tread hollowing have to be rejected as unacceptable. The action proposed for increasing the quality of data on the flange height, flange thickness and tread hollowing is to enhance the calibration of the WPMS. In conclusion, GR&R is a useful tool to evaluate the measurement capability of WPMS and to provide helpful support for maintenance decision making. This investigation also shows that there is good reason to be careful when selecting measures and when interpreting the results, since, for a certain wheel profile parameter, when one measure is used, the results may be acceptable, but when another measure is used, the results may be unacceptable.

National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-9409 (URN)10.1016/j.measurement.2016.05.090 (DOI)000380736700003 ()2-s2.0-84974560549 (Scopus ID)8062b662-b2f7-4a53-9365-fe7966466b08 (Local ID)8062b662-b2f7-4a53-9365-fe7966466b08 (Archive number)8062b662-b2f7-4a53-9365-fe7966466b08 (OAI)
Note

Validerad; 2016; Nivå 2; 20160403 (matasp)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Asplund, M. (2016). Wayside Condition Monitoring System for Railway Wheel Profiles: Applications and Performance Assessment. (Doctoral dissertation). Luleå tekniska universitet
Open this publication in new window or tab >>Wayside Condition Monitoring System for Railway Wheel Profiles: Applications and Performance Assessment
2016 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The railway is an important mode of transport, due to its environmental friendliness, high safety level, and low energy consumption combined with a high transport capacity, among other factors. The Swedish railway network is old, there has been almost no expansion of the network during the past few decades, and more traffic is expected. Therefore, there is currently a demand for more track capacity and, in the short term, the existing network is expected to deliver the increased capacity. The railway operators in the network have a large impact on train delays, and wheel failures are one large contributor of delays. Delays destroy capacity and, therefore, capacityconsuming failures, such as abnormal wheels, need to be minimised. This can be achieved by using appropriate condition monitoring for the wheels on the track to find potential capacity consumers before failures happen. Therefore, the condition of the wheel-rail interface is important, since the state of the wheel influences that of the rail and vice versa. The monitoring of rail profiles is already being performed, but the monitoring of wheel profiles is still in the development phase. This thesis treats the applications and performance assessment of a wheel profile measurement system (WPMS), and presents case studies focusing on its system and measurement performance. The proposed applications concern how the information from the WPMS can be integrated with information from other data sources and with physical models to obtain a true current picture of the wheel behaviour. The thesis investigates the measurement performance of the WPMS by using a paired T-test and a number of quality measures, e.g. the reproducibility and repeatability, the precision-to-tolerance ratio and the signal-to-noise ratio. In conclusion, this thesis shows that the WPMS works well with an expected level of reliability in a harsh climate with respect to its measurement and system performance. By combining other data with the data from the WPMS, potentially abnormal wheels can be found in an early stage if the proposed new maintenance limit for the wheel parameter of the flange height is implemented. Furthermore, through adding a physical model to the process, the real contact condition of the actual wheel-rail interface can be evaluated and measurement deviations can be found. However, the wheel parameters, as well as the entire profile, need a high measurement quality with little variation, which seems to be an issue with respect to the measurement performance when advanced calculations are to be done. Therefore, a new approach for evaluating measurement performance has been developed using established statistical tools and quality measures with predefined acceptance limits; with the help of this approach, one can differentiate between the variation in the measurements originating in the different measurement units and the variation originating in the wheels. This new approach can be applied to judge the measurement performance of wheel profile condition-monitoring systems, and can also be implemented for other condition-monitoring systems to evaluate their measurement performance. Finally, this approach promotes the development of a condition-based maintenance policy by providing more reliable information for maintenance decision makers.

Place, publisher, year, edition, pages
Luleå tekniska universitet, 2016
Series
Doctoral thesis / Luleå University of Technology 1 jan 1997 → …, ISSN 1402-1544
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-60146 (URN)978-91-7583-745-1 (ISBN)978-91-7583-746-8 (ISBN)
Public defence
2016-12-15, C305, Luleå tekniska universitet, 10:00
Supervisors
Available from: 2016-11-08 Created: 2016-11-04 Last updated: 2017-11-24Bibliographically approved
Lin, J. & Asplund, M. (2015). Bayesian Semi-parametric Analysis for Locomotive Wheel Degradation using Gamma Frailties (ed.). Paper presented at . Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, 229(3), 237-247
Open this publication in new window or tab >>Bayesian Semi-parametric Analysis for Locomotive Wheel Degradation using Gamma Frailties
2015 (English)In: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017, Vol. 229, no 3, p. 237-247Article in journal (Refereed) Published
Abstract [en]

A reliability study based on a Bayesian semi-parametric framework is performed in order to explore the impact of the position of a locomotive wheel on its service lifetime and to predict its other reliability characteristics. A piecewise constant hazard regression model is used to analyse the lifetime of locomotive wheels using degradation data and taking into account the bogie on which the wheel is located. Gamma frailties are included in this study to explore unobserved covariates within the same group. The goal is to flexibly determine reliability for the wheel. A case study is performed using Markov chain Monte Carlo methods and the following conclusions are drawn. First, a polynomial degradation path is a better choice for the studied locomotive wheels; second, under given operational conditions, the position of the locomotive wheel, i.e. on which bogie it is mounted, can influence its reliability; third, a piecewise constant hazard regression model can be used to undertake reliability studies; fourth, considering gamma frailties is useful for exploring the influence of unobserved covariates; and fifth, the wheels have a higher failure risk after running a threshold distance, a finding which could be applied in optimisation of maintenance activities

National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-9202 (URN)10.1177/0954409713508759 (DOI)000350119100002 ()2-s2.0-84923324837 (Scopus ID)7c47144b-53a0-4353-9936-5add9871f00b (Local ID)7c47144b-53a0-4353-9936-5add9871f00b (Archive number)7c47144b-53a0-4353-9936-5add9871f00b (OAI)
Note
Validerad; 2015; Nivå 2; 20130923 (linjan)Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Organisations

Search in DiVA

Show all publications