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Villarejo, Roberto
Publications (3 of 3) Show all publications
Villarejo, R., Johansson, C.-a., Urko, L., Simon, V., Seneviratne, D. & Galar, D. (2017). Bottom to Top Approach for Railway KPI Generation. Management Systems in Production Engineering, 25(3), 191-198, Article ID 28.
Open this publication in new window or tab >>Bottom to Top Approach for Railway KPI Generation
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2017 (English)In: Management Systems in Production Engineering, ISSN 2299-0461, Vol. 25, no 3, p. 191-198, article id 28Article in journal (Refereed) Published
Abstract [en]

Railway maintenance especially on infrastructure produces a vast amount of data. However, having data is not synonymous with having information; rather, data must be processed to extract information. In railway maintenance, the development of key performance indicators (KPIs) linked to punctuality or capacity can help planned and scheduled maintenance, thus aligning the maintenance department with corporate objectives. There is a need for an improved method to analyse railway data to find the relevant KPIs. The system should support maintainers, answering such questions as what maintenance should be done, where and when. The system should equip the user with the knowledge of the infrastructure's condition and configuration, and the traffic situation so maintenance resources can be targeted to only those areas needing work. The amount of information is vast, so it must be hierarchized and aggregated; users must filter out the useless indicators. Data are fused by compiling several individual indicators into a single index; the resulting composite indicators measure multidimensional concepts which cannot be captured by a single index. The paper describes a method of monitoring a complex entity. In this scenario, a plurality of use indices and weighting values are used to create a composite and aggregated use index from a combination of lower level use indices and weighting values. The resulting composite and aggregated indicators can be a decision-making tool for asset managers at different hierarchical levels.

Place, publisher, year, edition, pages
Walter de Gruyter, 2017
Keywords
railway assets, fusion, hierarchy, aggregation, KPI, performance, condition monitoring, CMMS
National Category
Other Engineering and Technologies Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5962 (URN)10.1515/mspe-2017-0028 (DOI)000408931800008 ()
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Note

Validerad;2017;Nivå 2;2017-10-03 (rokbeg)

Available from: 2017-09-12 Created: 2023-03-02
Perales, N., Hernandez, A., Galar, D. & Villarejo, R. (2014). A comparison of techniques to determine the nominal life (L10) on railway bearings. In: : . Paper presented at International Conference on Condition Monitoring and Machinery Failure Prevention Technologies : 10/06/2014 - 12/06/2014.
Open this publication in new window or tab >>A comparison of techniques to determine the nominal life (L10) on railway bearings
2014 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

Bearings are one of the most important components in a railway vehicle for safety, since a failsafe design is not available. Contact fatigue, internal clearance, corrosion, and contamination of the lubricating oil can cause bearing failures. Generally, failures show up as imperfections in the ball race, in the ball/roller or in the retainer. The more frequent defects are caused by contact fatigue [1]. The analytical methodology (Methodology I) is an alternative approach proposed by the authors [1], inspired by a procedure used to design rail shafts [2]. The purpose is to compare the obtained life using methodology I, with the life estimated by LKAB company. The latter uses a calculation method well-established in manuals of bearing manufacturers such as SKF and Timken. This is to avoid a drawback observed in this type of approach, namely, the lack of rigour in defining terms associated with the mathematical model used to estimate L10. The research goal is to perform an inspection and analysis of the functioning of the bearings most commonly used on railways in order to estimate the bearings' life under real operating conditions.

Series
Trafikverkets forskningsportföljerTrafikverkets forskningsportföljer
National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5965 (URN)2-s2.0-84918508131 (Scopus ID)b1cfe201-afe4-466a-a444-c31d9cb431de (Local ID)b1cfe201-afe4-466a-a444-c31d9cb431de (Archive number)b1cfe201-afe4-466a-a444-c31d9cb431de (OAI)
Conference
International Conference on Condition Monitoring and Machinery Failure Prevention Technologies : 10/06/2014 - 12/06/2014
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Note

Godkänd; 2014; 20150107 (andbra)

Available from: 2016-10-03 Created: 2023-03-02
Villarejo, R., Galar, D., Johansson, C.-A., Menendez, M. & Perales, N. (2014). Context Awareness And Railway Maintenance. In: Uday Kumar; Ramin Karim; Aditya Parida; Philip Tretten (Ed.), Proceedings of the 3rd international workshop and congress on eMaintenance: June 17-18 Luleå, Sweden : eMaintenance, Trends in technologies & methodologies, challenges, possibilites and applications. Paper presented at International Workshop and Congress on eMaintenance : 17/06/2014 - 18/06/2014 (pp. 17-24). Luleå: Luleå tekniska universitet
Open this publication in new window or tab >>Context Awareness And Railway Maintenance
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2014 (English)In: Proceedings of the 3rd international workshop and congress on eMaintenance: June 17-18 Luleå, Sweden : eMaintenance, Trends in technologies & methodologies, challenges, possibilites and applications / [ed] Uday Kumar; Ramin Karim; Aditya Parida; Philip Tretten, Luleå: Luleå tekniska universitet , 2014, p. 17-24Conference paper, Published paper (Refereed)
Abstract [en]

A railway is an extremely complex system requiring maintenancedecision support systems to gather data from many disparatesources. These sources include traditional maintenanceinformation like condition monitoring or work records, as well astraffic information, given the criticality of maintenance inavoiding traffic disruptions and the need to minimise the trackpossession time for maintenance.A methodology is required if maintainers are to understand thedata as a whole. Context engines try to link the various dataconstellations and to define interactions within the railwaysystem. This is not easy since data have different natures, originsand granularity. But if all information surrounding the railwayasset can be considered, decisions will be more accurate andproblems like false alarms or outlying anomalies will be detected.The contextualisation of the data seems to be a feasible way toallow condition monitoring data i.e physical measurements andother variables, to be understood under certain conditions(weather, regulations etc.) and as a consequence of certain actions(maintenance interventions, overhauls, outsourcing warrantiesetc.).This paper proposes the use of context engines to providemeaningful information out of the overwhelming amount ofcollected and recorded data so that proper maintenance decisionscan be made. In this scenario, fluffy information coming fromwork orders and expertise of maintainers is a big issue since suchinformation must be converted to numerical values. The fuzzylogic approach seems a promising way to integrate suchinformation sources for diagnosis.

Place, publisher, year, edition, pages
Luleå: Luleå tekniska universitet, 2014
Series
Trafikverkets forskningsportföljer
National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5854 (URN)aa8d7772-89be-4e58-a4f4-0359a360f044 (Local ID)978-91-7439-972-1 (ISBN)978-91-7439-973-8 (ISBN)aa8d7772-89be-4e58-a4f4-0359a360f044 (Archive number)aa8d7772-89be-4e58-a4f4-0359a360f044 (OAI)
Conference
International Workshop and Congress on eMaintenance : 17/06/2014 - 18/06/2014
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Note

Godkänd; 2014; 20140619 (andbra)

Available from: 2023-02-21 Created: 2023-02-21 Last updated: 2023-02-21
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