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Publications (10 of 32) Show all publications
Jägare, V., Karim, R., Juntti, U. & Söderholm, P. (2019). A framework for testbed concept in railway. In: P.O. Larsson-Kråik; A. Ahmadi (Ed.), Proceedings of the International Heavy Haul Association STS Conference (IHHA 2019): . Paper presented at International Heavy Haul STS Conference (IHHA 2019), Narvik, Norway, June 12-14, 2019 (pp. 986). International Heavy Haul Association (IHHA)
Open this publication in new window or tab >>A framework for testbed concept in railway
2019 (English)In: Proceedings of the International Heavy Haul Association STS Conference (IHHA 2019) / [ed] P.O. Larsson-Kråik; A. Ahmadi, International Heavy Haul Association (IHHA) , 2019, p. 986-Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

One major prerequisite for an effective implementation and innovation process is the enablement and provision of a collaborative environment. A common area for multi-organisational collaboration together with a technology platform, enabling data sharing and Big Data Analytics, has been developed called ‘Testbed Railway’ with a corresponding framework ‘Railway 4.0’. Testbed Railway can be used to strengthen the railway industry's adaptability and competitiveness by developing and providing a testbed for research and innovation in the rail industry, nationally and internationally.

Place, publisher, year, edition, pages
International Heavy Haul Association (IHHA), 2019
Series
Trafikverkets forskningsportföljer
Keywords
Testbed Railway, Implementation of innovations, Multi-organisational collaboration
National Category
Transport Systems and Logistics Other Civil Engineering
Research subject
FOI-portföljer, Vidmakthålla
Identifiers
urn:nbn:se:trafikverket:diva-5612 (URN)
Conference
International Heavy Haul STS Conference (IHHA 2019), Narvik, Norway, June 12-14, 2019
Projects
Verklighetslabb digital järnväg
Funder
Swedish Transport Administration, TRV 2017/67785Luleå Railway Research Centre (JVTC)
Note

ISBN för värdpublikation: 9780911382709; 9780911382716 

Available from: 2019-09-11 Created: 2022-10-12 Last updated: 2023-02-01Bibliographically approved
Jägare, V., Karim, R., Söderholm, P., Larsson-Kråik, P.-O. & Juntti, U. (2019). Change management in digitalised operation and maintenance of railway. In: PROCEEDINGS: International Heavy Haul Association Conference June 2019: . Paper presented at International Heavy Haul Association (IHHA) STS 2019, 10-14th June 2019, Narvik, Norway. (pp. 904-911).
Open this publication in new window or tab >>Change management in digitalised operation and maintenance of railway
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2019 (English)In: PROCEEDINGS: International Heavy Haul Association Conference June 2019, 2019, p. 904-911Conference paper, Published paper (Refereed)
Abstract [en]

Globally, railway is experiencing a major technology transformation (or paradigm shift), triggered by the enhanced utilisation of digital technology. This technological transformation affects not only the technical systems, i.e. railway infrastructure and rolling stock, but also regulations, organisations, processes,and individuals. Hence, hardware, software, but also liveware (i.e. humans) are affected. Today, the digitalisation of railway is characterised by digital services. There are also a range of challenges, e.g. data acquisition,transformation, modelling, processing, visualisation, safety, security, quality, and information assurance. To deal with these challenges, the railway industry needs to define strategies, which enable a smooth transformation of the existing configuration to a digitalised system. Digital railway requires a holistic change management approach based on system-of-systems thinking and a set of appropriate technologies and methodologies. The railway digitalisation strategy should be based on systematic risk management that address aspects of, e.g., information security, traffic safety and project risk. In addition, managing changes for a digitalised railway effectively and efficiently also requires a framework for aspects such as needs finding, requirement identification, and impact of changes for individual, teams and organisation. In this work a major case studywithin the ePilot, has been performed in context of the operation and maintenance processes of the Swedish railway. Therefore, this paper aims to propose a framework for implementing innovations and driving change in a digitalised railway.

Series
Trafikverkets forskningsportföljer
Keywords
Change management, digitalisation, railway, risk management, implementing innovation, framework for implementation
National Category
Transport Systems and Logistics Other Civil Engineering
Research subject
FOI-portföljer, Vidmakthålla
Identifiers
urn:nbn:se:trafikverket:diva-5613 (URN)9780911382716 (ISBN)9780911382709 (ISBN)
Conference
International Heavy Haul Association (IHHA) STS 2019, 10-14th June 2019, Narvik, Norway.
Projects
Verklighetslabb digital järnväg
Funder
Swedish Transport Administration, TRV 2017/67785
Available from: 2022-10-12 Created: 2022-10-12 Last updated: 2022-10-12
Zhang, L., Lin, J. & Karim, R. (2015). An Angle-based Subspace Anomaly Detection Approach to High-dimensional Data: With an Application to Industrial Fault Detection. Reliability Engineering & System Safety, 142, 482-497
Open this publication in new window or tab >>An Angle-based Subspace Anomaly Detection Approach to High-dimensional Data: With an Application to Industrial Fault Detection
2015 (English)In: Reliability Engineering & System Safety, ISSN 0951-8320, E-ISSN 1879-0836, Vol. 142, p. 482-497Article in journal (Refereed) Published
Abstract [en]

The accuracy of traditional anomaly detection techniques implemented on full-dimensional spaces degrades significantly as dimensionality increases, thereby hampering many real-world applications. This work proposes an approach to selecting meaningful feature subspace and conducting anomaly detection in the corresponding subspace projection. The aim is to maintain the detection accuracy in high-dimensional circumstances. The suggested approach assesses the angle between all pairs of two lines for one specific anomaly candidate: the first line is connected by the relevant data point and the center of its adjacent points; the other line is one of the axis-parallel lines. Those dimensions which have a relatively small angle with the first line are then chosen to constitute the axis-parallel subspace for the candidate. Next, a normalized Mahalanobis distance is introduced to measure the local outlier-ness of an object in the subspace projection. To comprehensively compare the proposed algorithm with several existing anomaly detection techniques, we constructed artificial datasets with various high-dimensional settings and found the algorithm displayed superior accuracy. A further experiment on an industrial dataset demonstrated the applicability of the proposed algorithm in fault detection tasks and highlighted another of its merits, namely, to provide preliminary interpretation of abnormality through feature ordering in relevant subspaces.

National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5904 (URN)10.1016/j.ress.2015.05.025 (DOI)000359172400045 ()2-s2.0-84936765529 (Scopus ID)ccb88d21-0f57-4412-9035-a6b9f78de9c7 (Local ID)ccb88d21-0f57-4412-9035-a6b9f78de9c7 (Archive number)ccb88d21-0f57-4412-9035-a6b9f78de9c7 (OAI)
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Note

Validerad; 2015; Nivå 2; 20150531 (liazha)

Available from: 2023-02-21 Created: 2023-02-21 Last updated: 2023-03-13Bibliographically approved
Karim, R., Birk, W. & Larsson-Kråik, P.-O. (2015). Cloud-based emaintenance solutions for condition-based maintenance of wheels in heavy haul operation. In: 11th International Heavy Haul Conference, (IHHA 2015): 21 – 24 June 2015, Perth, Australia. Paper presented at International Heavy Haul Association : The 11th International Heavy Haul Association Conference will be held 21 - 24 June 2015 in Perth 21/06/2015 - 24/06/2015. International Heavy Haul Association
Open this publication in new window or tab >>Cloud-based emaintenance solutions for condition-based maintenance of wheels in heavy haul operation
2015 (English)In: 11th International Heavy Haul Conference, (IHHA 2015): 21 – 24 June 2015, Perth, Australia, International Heavy Haul Association , 2015Conference paper, Published paper (Refereed)
Abstract [en]

The Swedish ore line, began in 1898 and was completed and operational by 1902. The line was later electrified and remains so to this day. A study on wheel-rail interaction, to optimize wheel and rail profiles on the Malmbanan and Ofoten lines states that there is a need to develop and apply limit values for the allowable length of single and multiple cracks on wheels. Herein, all stakeholders in the railway organization have to be involved. Provisioning of an integrated decision support system for track and vehicle contributes to increased efficiency and improved effectiveness of the maintenance process, which in turn enables achievement of business excellence. However, an integrated decision support process for maintenance is highly dependent on appropriate information logistics which enables information provisioning to various maintenance stakeholders. One emerging approach for development of eMaintenance solutions is utilization of cloud-based technologies. Cloud-based eMaintenance solutions promises smooth information logistics for maintenance decision support. Hence, the purpose of this paper is to propose an approach for condition-based maintenance decision-making relating to railway vehicle wheels, based on a cloud-based eMaintenance solution. The paper also demonstrates how the proposed approach can be implemented for estimation of Remaining Useful Life (RUL) of railway vehicle wheels.

Place, publisher, year, edition, pages
International Heavy Haul Association, 2015
Series
Trafikverkets forskningsportföljer
National Category
Other Civil Engineering Control Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5917 (URN)7256c9e4-ea73-4b1c-8cac-718a207bbd9b (Local ID)978-0-646-94006-9 (ISBN)7256c9e4-ea73-4b1c-8cac-718a207bbd9b (Archive number)7256c9e4-ea73-4b1c-8cac-718a207bbd9b (OAI)
Conference
International Heavy Haul Association : The 11th International Heavy Haul Association Conference will be held 21 - 24 June 2015 in Perth 21/06/2015 - 24/06/2015
Funder
Swedish Transport Administration
Note

Godkänd; 2015; 20150517 (raka)

Available from: 2023-03-02 Created: 2023-03-02 Last updated: 2023-03-02
Aljumaili, M., Karim, R., Wandt, K. & Tretten, P. (2015). eMaintenance Ontologies for Data Quality Support. Journal of Quality in Maintenance Engineering, 21(3), 358-374
Open this publication in new window or tab >>eMaintenance Ontologies for Data Quality Support
2015 (English)In: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 21, no 3, p. 358-374Article in journal (Refereed) Published
Abstract [en]

Purpose – The purpose of this paper is to explore the main ontologies related to eMaintenance solutions and to study their application area. The advantages of using these ontologies to improve and control data quality will be investigated.

Design/methodology/approach – A literature study has been done to explore the eMaintenance ontologies in the different areas. These ontologies are mainly related to content structure and communication interface. Then, ontologies will be linked to each step of the data production process in maintenance.

Findings – The findings suggest that eMaintenance ontologies can help to produce a high quality data in maintenance. The suggested maintenance data production process may help to control data quality. Using these ontologies in every step of the process may help to provide management tools to provide high quality data.

Research limitations/implications – Based on this study, it can be concluded that further research could broaden the investigation to identify more eMaintenance ontologies. Moreover, studying these ontologies in more technical details may help to increase the understandability and the use of these standards.

Practical implications – It has been concluded in this study that applying eMaintenance ontologies by companies needs additional cost and time. Also the lack or the ineffective use of eMaintenance tools in many enterprises is one of the limitations for using these ontologies.

Originality/value – Investigating eMaintenance ontologies and connecting them to maintenance data production is important to control and manage the data quality in maintenance.

Keywords
eMaintenance, Ontology, Standards, Data quality, ICT, Interoperability, Data Production
National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5942 (URN)10.1108/JQME-09-2014-0048 (DOI)000211515400008 ()2-s2.0-84939791299 (Scopus ID)0a553493-8984-401c-8da5-a22dcd4618d6 (Local ID)0a553493-8984-401c-8da5-a22dcd4618d6 (Archive number)0a553493-8984-401c-8da5-a22dcd4618d6 (OAI)
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Note

Validerad; 2015; Nivå 1; 20141215 (musalj)

Available from: 2016-09-29 Created: 2023-03-02
Kour, R., Karim, R. & Tretten, P. (2015). EMaintenance solutions for railway maintenance decisions. In: S.I. Ao; Len Gelman; David W.L. Hukins; Andrew Hunter; Alexander Korsunsky (Ed.), World Congress on Engineering, WCE 2014: London, 2 - 4 July 2014. Paper presented at World Congress on Engineering : 02/07/2014 - 04/07/2014 (pp. 228-232). Hong Kong: Newswood Limited
Open this publication in new window or tab >>EMaintenance solutions for railway maintenance decisions
2015 (English)In: World Congress on Engineering, WCE 2014: London, 2 - 4 July 2014 / [ed] S.I. Ao; Len Gelman; David W.L. Hukins; Andrew Hunter; Alexander Korsunsky, Hong Kong: Newswood Limited , 2015, p. 228-232Conference paper, Published paper (Refereed)
Abstract [en]

The term eMaintenance emerged in the early 2000s and has become a popular topic in maintenance related literature because of ongoing technological improvements. This paper uses a recent approach, i.e. cloud-based technology, to provide an eMaintenance solution for online time data analysis to make effective and efficient railway maintenance decisions. Due to increased traffic, the Swedish railway sector needs to optimise maintenance, using predictive maintenance to a much higher degree so that unplanned breakdowns and downtime are drastically reduced. The paper shows how research within the railway sector is developing eMaintenance solutions using the cloud and web-based applications for improved condition monitoring, better maintenance and increased uptime. In the proposed solution, data are acquired from railway measurement stations and sent to the eMaintenance cloud, where they are filtered, fused, integrated and analysed to assist maintenance decisions. The paper provides a concept for a web-based eMaintenance solution to assist railway maintenance stakeholders make fact-based decisions and develop more efficient and economically sound maintenance policies.

Place, publisher, year, edition, pages
Hong Kong: Newswood Limited, 2015
Series
Trafikverkets forskningsportföljer
Series
Lecture Notes in Engineering and Computer Science, ISSN 2078-0958
National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5943 (URN)017f3d9a-1c79-4192-b9b4-7a74da3aa471 (Local ID)9789881925275 (ISBN)017f3d9a-1c79-4192-b9b4-7a74da3aa471 (Archive number)017f3d9a-1c79-4192-b9b4-7a74da3aa471 (OAI)
Conference
World Congress on Engineering : 02/07/2014 - 04/07/2014
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Note

Validerad; 2015; Nivå 1; 20141007 (andbra)

Available from: 2023-03-02 Created: 2023-03-02 Last updated: 2023-03-02
Kour, R., Karim, R., Parida, A. & Kumar, U. (2014). Applications of radio frequency identification (RFID) technology with eMaintenance cloud for railway system. International Journal of Systems Assurance Engineering and Management, 5(1), 99-106
Open this publication in new window or tab >>Applications of radio frequency identification (RFID) technology with eMaintenance cloud for railway system
2014 (English)In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 5, no 1, p. 99-106Article in journal (Refereed) Published
Abstract [en]

Radio Frequency Identification (RFID) helps automatic identification of objects using radio waves. This is not a new technology instead decades old and has been used during the World War II, when it was used by allied ground forces to track German bombers. It is a technology for wireless communication between a reader and a transponder/tag. This technology permits the transfer of data to the most diverse objects without the need for physical contact and uses intelligent barcodes to track items and have been successfully applied in military, security, healthcare, real time location tracking, vehicle identification and other areas. This paper is based on applications of radio frequency identification technology with eMaintenance cloud for railway system to analyze and visualize data of trains for the cost effective maintenance planning. Further, cloud computing is an emerging research area that can be utilised for acquiring an effective and efficient information logistics. Specifically, the widespread use of RFID will enable wagons to be tracked leading to better resource utilization, lower freight costs, and better maintenance. Therefore, it helps to provide greater control of the train carriages, making it easier to plan resources. However, RFID is a powerful tool that can help to improve industry proficiency, implementing this technology is not easy. Furthermore, operating RFID systems can be a challenging process. Thus, this paper is based on the application of RFID in the context of railway operation.

National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5813 (URN)10.1007/s13198-013-0196-z (DOI)2-s2.0-84894655496 (Scopus ID)
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Available from: 2023-02-07 Created: 2023-02-07 Last updated: 2023-02-14Bibliographically approved
Al-Jumaili, M., Rauhala, V., Karim, R., Jonsson, K. & Parida, A. (2014). Aspects of data quality in eMaintenance: a case study of process industry in northern Europe. In: Jay Lee; Jun Ni; Jagnathan Sarangapani; Joseph Mathew (Ed.), Engineering Asset Management 2011: Proceedings of the Sixth World Congress on Engineering Asset Management. Paper presented at World Congress on Engineering Asset Management : 02/10/2011 - 05/10/2011 (pp. 41-51). London: Encyclopedia of Global Archaeology/Springer Verlag
Open this publication in new window or tab >>Aspects of data quality in eMaintenance: a case study of process industry in northern Europe
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2014 (English)In: Engineering Asset Management 2011: Proceedings of the Sixth World Congress on Engineering Asset Management / [ed] Jay Lee; Jun Ni; Jagnathan Sarangapani; Joseph Mathew, London: Encyclopedia of Global Archaeology/Springer Verlag , 2014, p. 41-51Conference paper, Published paper (Refereed)
Abstract [en]

Increased environmental awareness in the industry combined with the globalized market economy makes increasing demands for sustainable and efficient resource utilization. In this context, maintenance plays a critical role by linking business objectives to the strategic and operational activities aimed at retaining the system’s availability performance, cost-efficiency and sustainability. Performing maintenance effectively and efficiently requires corresponding infrastructure for decision-support provided through eMaintenance solutions. A proper eMaintenance solution needs to provide services for data acquisition, data processing, data aggregation, data analysis, data visualization, context-sensing etc. To en Quality of Service (QoS) in eMaintenance solutions, the performance of both system-of-interest, enabling systems and related processes have to be measured and managed. However, the QoS has to be considered on all aggregation levels and encompass the aspects of Content Quality (CQ), Data Quality (DQ) and Information Quality (IQ). Hence, the purpose of this paper is to study and describe some aspects of DQ in eMaintenance related to process industry in northern Europe

Place, publisher, year, edition, pages
London: Encyclopedia of Global Archaeology/Springer Verlag, 2014
Series
Trafikverkets forskningsportföljer
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356
National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5819 (URN)10.1007/978-1-4471-4993-4_5 (DOI)978-1-4471-4992-7 (ISBN)978-1-4471-4993-4 (ISBN)
Conference
World Congress on Engineering Asset Management : 02/10/2011 - 05/10/2011
Projects
JVTC
Funder
Swedish Transport Administration
Available from: 2023-02-07 Created: 2023-02-07 Last updated: 2023-02-16Bibliographically approved
Al-Jumaili, M., Mahmood, Y. A. & Karim, R. (2014). Assessment of railway frequency converter performance and data quality using the IEEE 762 Standard. International Journal of Systems Assurance Engineering and Management, 5(1), 42694
Open this publication in new window or tab >>Assessment of railway frequency converter performance and data quality using the IEEE 762 Standard
2014 (English)In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 5, no 1, p. 42694-Article in journal (Refereed) Published
Abstract [en]

Reliability, availability and maintainability analysis is one of the most important tools for measuring system performance. The performance of a traction power supply system (TPSS) can be measured using the data collected from frequency converters, as these converters constitute the main part of the TPSS. The quality of the collected data should be good enough to provide the correct and complete information necessary for assessment of frequency converter performance. Many methods can be used to assess the performance of converters such as neural networks, fuzzy logic and standards. The IEEE 762 Standard offers a methodology that can provide key performance indicators for power generation units. This standard has been chosen for its widespread acceptance and applicability. To be able to evaluate a converter’s performance, IEEE 762 indexes should be calculated using data such as the downtime, reserve shutdown hours and service hours. Therefore, the purpose of this study is to assess the performance of the Swedish TPSS frequency converters using IEEE 762, and to assess the quality of data by inspecting their compatibility with this standard. In this study, an application has been developed to generate the missing information and to calculate the indexes provided by the standard, in order to evaluate the power converters’ performance. A case with sample data is also discussed in this paper.

National Category
Other Civil Engineering
Research subject
FOI-portföljer, Strategiska initiativ
Identifiers
urn:nbn:se:trafikverket:diva-5820 (URN)10.1007/s13198-013-0216-z (DOI)
Projects
JVTC
Funder
Swedish Transport Administration, TRV 2011/58769
Available from: 2023-02-07 Created: 2023-02-07 Last updated: 2023-02-16Bibliographically approved
Zhang, L. & Karim, R. (2014). Big Data Mining in eMaintenance: An Overview. 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. 159-170). Luleå: Luleå tekniska universitet
Open this publication in new window or tab >>Big Data Mining in eMaintenance: An Overview
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. 159-170Conference paper, Published paper (Refereed)
Abstract [en]

Maintenance related data are tending to be increasingly huge involume, rapid in velocity and vast in variety. Data with thesecharacteristics bring new challenges with respect to data analysisand data mining, which requires new approaches andtechnologies. In industry, related research and applications, somecontributions have been provided to utilize Big Data technologiesfor extraction of information through pattern recognitionmechanisms via eMaintenance solutions. Today, the existingcontributions are not enabling a holistic approach for maintenancedata analysis and therefore are insufficient. However, theimmense value hidden inside the Big Data in eMaintenance isarousing more and more attention from both academia andindustry. Hence, this paper aims to explore eMaintenancesolutions for maintenance decision-making through utilization ofBig Data technologies and approaches. The paper discusses BigData mining in eMaintenance through a general manner byemploying one of the widely accepted frameworks with the nameof Cross Industry Standard Process for Data Mining (CRISPDM).In addition, the paper outlines features of maintenance dataand investigates six sub-processes (i.e. business understanding,data understanding, data preparation, modeling, evaluation anddeployment) of data mining applications defined by CRISP-DMwithin the domain of eMaintenance.

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-5853 (URN)a89e2a56-a39c-4584-8e2f-4fe67b17df96 (Local ID)978-91-7439-973-8 (ISBN)978-91-7439-973-8 (ISBN)a89e2a56-a39c-4584-8e2f-4fe67b17df96 (Archive number)a89e2a56-a39c-4584-8e2f-4fe67b17df96 (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; 20140623 (andbra)

Available from: 2023-02-21 Created: 2023-02-21 Last updated: 2023-02-21
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-0055-2740

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