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Garmabaki, A. S., Thaduri, A., Hedström, A., Kumar, U., Laue, J., Marklund, S., . . . Indahl, S. (2019). A Survey on Underground Pipelines and Railway Infrastructure at Cross-Sections. In: Michael beer, Enrico Zio (Ed.), ESREL-2019: . Paper presented at ESREL 2019 | European Safety and Reliability Conference.
Open this publication in new window or tab >>A Survey on Underground Pipelines and Railway Infrastructure at Cross-Sections
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2019 (English)In: ESREL-2019 / [ed] Michael beer, Enrico Zio, 2019Conference paper, Published paper (Refereed)
Abstract [en]

Underground pipelines are an essential part of the transportation infrastructure. The structural deterioration of pipelines crossing railways and their subsequent failures are critical for society and industry resulting in direct and indirect costs for all the related stakeholders. Pipeline failures are complex processes, which are affected by many factors, both static (e.g., pipe material, size, age, and soil type) and dynamic (e.g., traffic load, pressure zone changes, and environmental impacts). These failures have serious impacts on public due to safety, disruption of traffic, inconvenience to society, environmental impacts and shortage of resources. Therefore, continuous and accurate condition assessment is critical for the effective management and maintenance of pipeline networks within transportation infrastructure. The aim of this study is to identify failure modes and consequences related to the crossing of pipelines in railway corridors. Expert opinion have been collected through two set of questionnaires which have been distributed to the 291 municipalities in the whole Sweden. The failure analysis revealed that pipe deformation has higher impact followed by pipe rupture at cross-section with railway infrastructure. For underground pipeline under railway infrastructure, aging and external load gets higher ranks among different potential failure causes to the pipeline.

Keywords
Underground Pipelines, Transportation Infrastructure, Railway, Maintenance, FMEA
National Category
Reliability and Maintenance Water Engineering Geotechnical Engineering
Research subject
Structural Engineering; Traffic Engineering
Identifiers
urn:nbn:se:ltu:diva-76471 (URN)10.3850/978-981-11-2724-3_ 0037-cd (DOI)978-981-11-2724-3 (ISBN)
Conference
ESREL 2019 | European Safety and Reliability Conference
Projects
PipeXrail
Funder
Vinnova, 2016-033113
Note

We gratefully acknowledge the funding provided by Sweden’s Innovation Agency, Vinnova, through the Strategic Innovation Programme InfraSweden2030. The funding was granted in competition within the Open Call “Condition assessment and maintenance of transport infrastructure – Grant No. 2016-033113”. In addition, the technical support and collaboration of, Arrsleff Rörteknik, Luleå Railway Research Center (JVTC) and the Swedish Transport Administration (Trafikverket) are greatly appreciated

Available from: 2019-10-22 Created: 2019-10-22 Last updated: 2019-10-22
Thaduri, A., Al-Jumaili, M., Kour, R. & Karim, R. (2019). Cybersecurity for eMaintenance in Railway Infrastructure: Risks and Consequences. International Journal of Systems Assurance Engineering and Management, 10(2), 149-159
Open this publication in new window or tab >>Cybersecurity for eMaintenance in Railway Infrastructure: Risks and Consequences
2019 (English)In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 10, no 2, p. 149-159Article in journal (Refereed) Published
Abstract [en]

Recently, due to the advancements in the ICT (Information and Communication Technology), there has been lot of emphasis on digitization of the existing and newly developed infrastructure. In transportation infrastructure, in general, 80% of the assets are already in place and there has been tremendous push to move to the digital era. For efficient and effective design, construction, operation and maintenance of the infrastructure, due to this digitization, there is increasing research trend in data-driven decision-making algorithms that are proved to be effective because of several advantages. Since railway is the backbone of the society, the data-driven approaches will ensure the continuous operation, efficient maintenance, planning and potential future investments. The breach and leak of this potential data to the wrong hands might result in havoc, risk, trust, hazards and serious consequences. Hence, the main purpose of this paper is to stress the potential challenges, consequences, threats, vulnerabilities and risk management of data security in the railway infrastructure in context of eMaintenance. In addition, this paper also identifies the research methods to obtain and secure this data for potential possible research.

Place, publisher, year, edition, pages
Springer, 2019
Keywords
eMaintenance, Cybersecurity, Risks, consequences, Railways
National Category
Reliability and Maintenance Computer Systems Other Civil Engineering
Research subject
Centre - Luleå Railway Research Center (JVTC); Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-73186 (URN)10.1007/s13198-019-00778-w (DOI)000464861200001 ()
Note

Validerad;2019;Nivå 2;2019-04-23 (marisr)

Available from: 2019-03-13 Created: 2019-03-13 Last updated: 2019-05-02Bibliographically approved
Kour, R., Karim, R. & Thaduri, A. (2019). Cybersecurity for railways: A maturity model. Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit
Open this publication in new window or tab >>Cybersecurity for railways: A maturity model
2019 (English)In: Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit, ISSN 0954-4097, E-ISSN 2041-3017Article in journal (Refereed) Epub ahead of print
Abstract [en]

With the advancements in and widespread adoption of information and communication technologies in infrastructures, cyber-attacks are becoming more frequent and more severe. Advanced cybersecurity threats with automated capabilities are increasing in such sectors as finance, health, grid, retail, government, telecommunications, transportation, etc. Cyber-attacks are also increasing in railways with an impact on railway stakeholders, e.g. threat to the safety of employees, passengers, or the public in general; loss of sensitive railway information; reputational damage; monetary loss; erroneous decisions; loss of dependability, etc. There is a need to move towards advanced security analytics and automation to identify, respond to, and prevent such security breaches. The objective of this research is to reduce cyber risks and vulnerabilities and to improve the cybersecurity capabilities of railways by evaluating their cybersecurity maturity levels and making recommendations for improvements. After assessing various cybersecurity maturity models, the Cybersecurity Capability Maturity Model (C2M2) was selected to assess the cybersecurity capabilities of railway organizations. The contributions of this research are as follows. First, a new maturity level MIL4 (Maturity Indicator Level 4) is introduced in the C2M2 model. Second, the C2M2 model is adapted by adding advanced security analytics and threat intelligence to develop the Railway-Cybersecurity Capability Maturity Model (R-C2M2). The cybersecurity maturity of three railway organizations is evaluated using this model. Third, recommendations and available standards & guidelines are provided to the three railway organizations to improve maturity levels within different domains. In addition, they are given an action plan to implement the recommendations in a streamlined way. The application of this model will allow railway organizations to improve their capability to reduce the impacts of cyber-attacks and eradicate vulnerabilities. The approach can also be extended to other infrastructures with necessary adaptations.

Place, publisher, year, edition, pages
Sage Publications, 2019
Keywords
Cybersecurity, maturity level, Railway-Cybersecurity Capability Maturity Model, railway organizations, Cybersecurity Capability Maturity Model
National Category
Engineering and Technology Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-76428 (URN)10.1177/0954409719881849 (DOI)
Available from: 2019-10-18 Created: 2019-10-18 Last updated: 2019-10-21
Thaduri, A., Famurewa, S. M., Verma, A. K. & Kumar, U. (2019). Process Mining for Maintenance Decision Support. In: P. K. Kapur, Yury Klochkov, Ajit Kumar Verma, Gurinder Singh (Ed.), System Performance and Management Analytics: (pp. 279-293). Springer
Open this publication in new window or tab >>Process Mining for Maintenance Decision Support
2019 (English)In: System Performance and Management Analytics / [ed] P. K. Kapur, Yury Klochkov, Ajit Kumar Verma, Gurinder Singh, Springer, 2019, p. 279-293Chapter in book (Refereed)
Abstract [en]

In carrying out maintenance actions, there are several processes running simultaneously among different assets, stakeholders, and resources. Due to the complexity of maintenance process in general, there will be several bottlenecks for carrying out actions that lead to reduction in maintenance efficiency, increase in unnecessary costs and a hindrance to operations. One of the tools that is emerging to solve the above issues is the use Process Mining tools and models. Process mining is attaining significance for solving specific problems related to process such as classification, clustering, discovery of process, prediction of bottlenecks, developing of process workflow, etc. The main objective of this paper is to utilize the concept of process mining to map and comprehend a set of maintenance reports mainly repair or replacement from some lines on the Swedish railway network. To attain the above objective, the reports were processed to extract out time related maintenance parameters such as  administrative, logistic and repair times. Bottlenecks are identified in the maintenance process and this information will be useful for maintenance service providers, infrastructure managers, asset owners and other stakeholders for improvement and maintenance effectiveness.

Place, publisher, year, edition, pages
Springer, 2019
Series
Asset Analytics, ISSN 2522-5162
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-70280 (URN)10.1007/978-981-10-7323-6_23 (DOI)978-981-10-7322-9 (ISBN)978-981-10-7323-6 (ISBN)
Available from: 2018-08-09 Created: 2018-08-09 Last updated: 2018-08-09Bibliographically approved
Kour, R., Thaduri, A. & Karim, R. (2019). Railway Defender Kill Chain for Cybersecurity. In: Proceedings of the 5th International Workshop & Congress on eMaintenance 2019: . Paper presented at Proceedings of the 5th International Workshop & Congress on eMaintenance 2019.
Open this publication in new window or tab >>Railway Defender Kill Chain for Cybersecurity
2019 (English)In: Proceedings of the 5th International Workshop & Congress on eMaintenance 2019, 2019Conference paper, Published paper (Refereed)
Abstract [en]

The railway is one of the most important infrastructures and its security is as important as other critical infrastructures. Due to the increase in cyber-attacks, there is an increasing trend in the field of cybersecurity. The history of cyber incidents suggested that the railway needs immediate security measures or defensive controls for forthcoming advanced persistent threats (APT). Cyber Kill Chain (CKC) is one of the most widely used models for the identification, detection, and prevention of advanced persistent threats. CKC model was introduced by Lockheed Martin that consists of seven stages as Reconnaissance, Weaponize, Delivery, Exploitation, Installation, Command & Control, and Act on Objective. Breaking the chain as early as possible in the CKC model will help the defender to stop adversary’s malicious actions. As the railway is adapting digital technologies and, therefore, there is a risk that adversary can penetrate into the system following the steps of CKC. The objective of this research is to reduce the risk of cyber-attacks by proposing Railway Defender Kill Chain (RDKC) that provides security controls at each phase of Cyber Kill Chain to predict, prevent, detect and respond to cyber threats.

National Category
Engineering and Technology
Identifiers
urn:nbn:se:ltu:diva-75935 (URN)
Conference
Proceedings of the 5th International Workshop & Congress on eMaintenance 2019
Available from: 2019-09-10 Created: 2019-09-10 Last updated: 2019-09-10
Soltanali, H., Garmabaki, A. S., Thaduri, A., Parida, A., Kumar, U. & Rohani, A. (2019). Sustainable production process: An application of reliability, availability, and maintainability methodologies in automotive manufacturing. Journal of Risk and Reliability, 233(4), 682-697
Open this publication in new window or tab >>Sustainable production process: An application of reliability, availability, and maintainability methodologies in automotive manufacturing
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2019 (English)In: Journal of Risk and Reliability, ISSN 1748-006X, E-ISSN 1748-0078, Vol. 233, no 4, p. 682-697Article in journal (Refereed) Published
Abstract [en]

Automotive manufacturing industries are required to improve their productivity with higher production rates at the lowest cost, less number of unexpected shutdowns, and reliable operation. In order to achieve the above objectives, the application of reliability, availability, and maintainability methodologies can constitute for resilient operation, identifying the bottlenecks of manufacturing process and optimization of maintenance actions. In this article, we propose a framework for reliability, availability, and maintainability evaluation and maintenance optimization to improve the performance of conveying process of vehicle body in an automotive assembly line. The results of reliability, availability, and maintainability analysis showed that the reliability and maintainability of forklift and loading equipment are the main bottlenecks. To find the optimal maintenance intervals of each unit, a multi-attribute utility theory is applied for multi-criteria decision model considering reliability, availability, and costs. Due to the series configuration of conveying process in automotive assembly line, the optimized time intervals are obtained using opportunistic maintenance strategy. The results could be useful to improve operational performance and sustainability of the production process.

Place, publisher, year, edition, pages
Sage Publications, 2019
Keywords
Automotive manufacturing, conveying process, opportunistic maintenance, reliability, availability, and maintainability methodologies, multi-attribute utility theory
National Category
Reliability and Maintenance Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-72427 (URN)10.1177/1748006X18818266 (DOI)000478598600015 ()2-s2.0-85059945405 (Scopus ID)
Note

Validerad;2019;Nivå 2;2019-08-28 (johcin)

Available from: 2019-01-02 Created: 2019-01-02 Last updated: 2019-08-28Bibliographically approved
Garmabaki, A. S., Marklund, S., Thaduri, A., Hedström, A. & Kumar, U. (2019). Underground pipelines and railway infrastructure: failure consequences and restrictions. Structure and Infrastructure Engineering
Open this publication in new window or tab >>Underground pipelines and railway infrastructure: failure consequences and restrictions
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2019 (English)In: Structure and Infrastructure Engineering, ISSN 1573-2479, E-ISSN 1744-8980Article in journal (Refereed) Epub ahead of print
Abstract [en]

Underground pipelines are an essential part of the transportation infrastructure. The structural deterioration of pipelines crossing railways and their subsequent failures can entail critical consequences for society and industry, resulting in direct and indirect costs for all the stakeholders involved. Therefore, continuous and accurate condition assessment is critical for the effective management and maintenance of pipeline networks within the transportation infrastructure. The aim of this study has been to identify failure modes and consequences related to pipelines crossing railway corridors. Expert opinions have been collected through interviews and two sets of questionnaires have been distributed to the 291 municipalities in Sweden, with 137 responses in total. The failure analysis has revealed that pipe deformation has the highest impact, followed by pipe rupture at locations where pipelines cross railway infrastructure. For underground pipelines under railway infrastructure, ageing and the external load were awarded a higher ranking than other potential causes of pipeline failure.

Place, publisher, year, edition, pages
Taylor & Francis, 2019
Keywords
Pipes, pipelines, renovation, maintenance, inspection, maintenance debt, life cycle costs, failure modes, axial loads, pipeline-railway crossings
National Category
Water Engineering Other Civil Engineering
Research subject
Operation and Maintenance; Urban Water Engineering
Identifiers
urn:nbn:se:ltu:diva-76283 (URN)10.1080/15732479.2019.1666885 (DOI)000487636800001 ()
Available from: 2019-10-08 Created: 2019-10-08 Last updated: 2019-10-10
Garmabaki, A. S., Marklund, S., Thaduri, A., Hedström, A. & Kumar, U. (2019). Underground pipelines and railway infrastructure: failure consequences and restrictions. Structure and Infrastructure Engineering
Open this publication in new window or tab >>Underground pipelines and railway infrastructure: failure consequences and restrictions
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2019 (English)In: Structure and Infrastructure Engineering, ISSN 1573-2479, E-ISSN 1744-8980Article in journal (Refereed) Epub ahead of print
Abstract [en]

Underground pipelines are an essential part of the transportation infrastructure. The structural deterioration of pipelines crossing railways and their subsequent failures can entail critical consequences for society and industry, resulting in direct and indirect costs for all the stakeholders involved. Therefore, continuous and accurate condition assessment is critical for the effective management and maintenance of pipeline networks within the transportation infrastructure. The aim of this study has been to identify failure modes and consequences related to pipelines crossing railway corridors. Expert opinions have been collected through interviews and two sets of questionnaires have been distributed to the 291 municipalities in Sweden, with 137 responses in total. The failure analysis has revealed that pipe deformation has the highest impact, followed by pipe rupture at locations where pipelines cross railway infrastructure. For underground pipelines under railway infrastructure, ageing and the external load were awarded a higher ranking than other potential causes of pipeline failure.

Authors gratefully acknowledge the funding provided by Sweden’sinnovation agency, Vinnova, through the strategic innovation programmeInfraSweden2030. The funding was granted in a competitiveapplication process that assessed replies to an open call for proposalsconcerning “Condition Assessment and Maintenance of TransportInfrastructure (Grant No. 2016-033113)”.

Authors gratefully acknowledge the technical support and collaboration(In-kind support) of Arrsleff R€orteknik at Sweden, Luleå RailwayResearch Center (JVTC), Stormwater&Sewers and the SwedishTransport Administration (Trafikverket). In addition, the authors arethankful to the anonymous referees for their constructive commentsand Dr Matthias Asplund and Dr Masoud Naseri for their support andsuggestions.

Place, publisher, year, edition, pages
Taylor & Francis, 2019
Keywords
Pipes, pipelines, renovation, maintenance, inspection, maintenance debt, life cycle costs, failure modes, axial loads, pipeline-railway crossings
National Category
Reliability and Maintenance Water Engineering Other Civil Engineering
Research subject
Operation and Maintenance; Urban Water Engineering
Identifiers
urn:nbn:se:ltu:diva-76470 (URN)10.1080/15732479.2019.1666885 (DOI)
Projects
PipeXrail
Funder
Vinnova, 2016-033113
Available from: 2019-10-22 Created: 2019-10-22 Last updated: 2019-10-28
Thaduri, A., Verma, A. K. & Kumar, U. (2018). Analytics for Maintenance of Transportation in Smart Cities. In: Kapur P., Kumar U., Verma A. (Ed.), Quality, IT and Business Operations: Modeling and Optimization (pp. 81-91). Singapore: Springer
Open this publication in new window or tab >>Analytics for Maintenance of Transportation in Smart Cities
2018 (English)In: Quality, IT and Business Operations: Modeling and Optimization / [ed] Kapur P., Kumar U., Verma A., Singapore: Springer, 2018, p. 81-91Chapter in book (Refereed)
Abstract [en]

Cities typically face a wide range of management and maintenance problems. They are complex environments in which digital technologies are more and more pervasive; this digitization of urban environment provided a scope for enriched environment that has capability for data-driven methods. The connections and exchange of data increase and the need for data acquisition, processing, and management become an extremely important added value to the community. The inclusion of digitization and incorporation of predictive analytics provide a base for a sustainable smart city. This work considers an overview of different challenges that utilizes different technologies within a smart city maintenance with respect to transportation. A conceptual framework is proposed to handle the generated data for decision for control, monitoring, fault diagnosis, and maintenance of more and more complex systems.

Place, publisher, year, edition, pages
Singapore: Springer, 2018
Series
Springer Proceedings in Business and Economics, ISSN 2198-7246
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-65959 (URN)10.1007/978-981-10-5577-5_7 (DOI)978-981-10-5576-8 (ISBN)978-981-10-5577-5 (ISBN)
Available from: 2017-10-04 Created: 2017-10-04 Last updated: 2017-11-24Bibliographically approved
Thaduri, A., Kumar, U. & Verma, A. K. (2017). Computational intelligence framework for context-aware decision making (ed.). International Journal of Systems Assurance Engineering and Management, 8(Supp. 4), 2146-2157
Open this publication in new window or tab >>Computational intelligence framework for context-aware decision making
2017 (English)In: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 8, no Supp. 4, p. 2146-2157Article in journal (Refereed) Published
Abstract [en]

Learning of context-aware systems is necessary in building up knowledge on the characteristics of the environment to provide efficient decision making within multi-objective requirements. As the industrial systems becomes complex day-by-day, intelligent machine learning techniques need to be implemented at respective context-aware situations to facilitate recommendations using soft computing methods based on dynamic user specifications. In this paper, a framework is designed for a meta-database that is generated by contextual information of several peers with what-if conditions and rule-based approaches and thus by provide decision making utilizing several existing soft computing algorithms.

Place, publisher, year, edition, pages
Springer, 2017
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-12534 (URN)10.1007/s13198-014-0320-8 (DOI)bb19a94c-2a20-4100-9168-55e7b1d8dead (Local ID)bb19a94c-2a20-4100-9168-55e7b1d8dead (Archive number)bb19a94c-2a20-4100-9168-55e7b1d8dead (OAI)
Note

Validerad;2017;Nivå 2;2017-11-27 (rokbeg)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2017-11-27Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-1938-0985

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