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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
Öppna denna publikation i ny flik eller fönster >>Cybersecurity for eMaintenance in Railway Infrastructure: Risks and Consequences
2019 (Engelska)Ingår i: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 10, nr 2, s. 149-159Artikel i tidskrift (Refereegranskat) 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.

Ort, förlag, år, upplaga, sidor
Springer, 2019
Nyckelord
eMaintenance, Cybersecurity, Risks, consequences, Railways
Nationell ämneskategori
Tillförlitlighets- och kvalitetsteknik Datorsystem Annan samhällsbyggnadsteknik
Forskningsämne
Centrumbildning - Järnvägstekniskt centrum (JVTC); Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-73186 (URN)10.1007/s13198-019-00778-w (DOI)000464861200001 ()
Anmärkning

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

Tillgänglig från: 2019-03-13 Skapad: 2019-03-13 Senast uppdaterad: 2019-05-02Bibliografiskt granskad
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
Öppna denna publikation i ny flik eller fönster >>Process Mining for Maintenance Decision Support
2019 (Engelska)Ingår i: System Performance and Management Analytics / [ed] P. K. Kapur, Yury Klochkov, Ajit Kumar Verma, Gurinder Singh, Springer, 2019, s. 279-293Kapitel i bok, del av antologi (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
Springer, 2019
Serie
Asset Analytics, ISSN 2522-5162
Nationell ämneskategori
Annan samhällsbyggnadsteknik
Forskningsämne
Drift och underhållsteknik
Identifikatorer
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)
Tillgänglig från: 2018-08-09 Skapad: 2018-08-09 Senast uppdaterad: 2018-08-09Bibliografiskt granskad
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.
Öppna denna publikation i ny flik eller fönster >>Railway Defender Kill Chain for Cybersecurity
2019 (Engelska)Ingår i: Proceedings of the 5th International Workshop & Congress on eMaintenance 2019, 2019Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Nationell ämneskategori
Teknik och teknologier
Identifikatorer
urn:nbn:se:ltu:diva-75935 (URN)
Konferens
Proceedings of the 5th International Workshop & Congress on eMaintenance 2019
Tillgänglig från: 2019-09-10 Skapad: 2019-09-10 Senast uppdaterad: 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
Öppna denna publikation i ny flik eller fönster >>Sustainable production process: An application of reliability, availability, and maintainability methodologies in automotive manufacturing
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2019 (Engelska)Ingår i: Journal of Risk and Reliability, ISSN 1748-006X, E-ISSN 1748-0078, Vol. 233, nr 4, s. 682-697Artikel i tidskrift (Refereegranskat) 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.

Ort, förlag, år, upplaga, sidor
Sage Publications, 2019
Nyckelord
Automotive manufacturing, conveying process, opportunistic maintenance, reliability, availability, and maintainability methodologies, multi-attribute utility theory
Nationell ämneskategori
Tillförlitlighets- och kvalitetsteknik Annan samhällsbyggnadsteknik
Forskningsämne
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-72427 (URN)10.1177/1748006X18818266 (DOI)000478598600015 ()2-s2.0-85059945405 (Scopus ID)
Anmärkning

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

Tillgänglig från: 2019-01-02 Skapad: 2019-01-02 Senast uppdaterad: 2019-08-28Bibliografiskt granskad
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
Öppna denna publikation i ny flik eller fönster >>Analytics for Maintenance of Transportation in Smart Cities
2018 (Engelska)Ingår i: Quality, IT and Business Operations: Modeling and Optimization / [ed] Kapur P., Kumar U., Verma A., Singapore: Springer, 2018, s. 81-91Kapitel i bok, del av antologi (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
Singapore: Springer, 2018
Serie
Springer Proceedings in Business and Economics, ISSN 2198-7246
Nationell ämneskategori
Annan samhällsbyggnadsteknik
Forskningsämne
Drift och underhållsteknik
Identifikatorer
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)
Tillgänglig från: 2017-10-04 Skapad: 2017-10-04 Senast uppdaterad: 2017-11-24Bibliografiskt granskad
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
Öppna denna publikation i ny flik eller fönster >>Computational intelligence framework for context-aware decision making
2017 (Engelska)Ingår i: International Journal of Systems Assurance Engineering and Management, ISSN 0975-6809, E-ISSN 0976-4348, Vol. 8, nr Supp. 4, s. 2146-2157Artikel i tidskrift (Refereegranskat) 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.

Ort, förlag, år, upplaga, sidor
Springer, 2017
Nationell ämneskategori
Annan samhällsbyggnadsteknik
Forskningsämne
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-12534 (URN)10.1007/s13198-014-0320-8 (DOI)bb19a94c-2a20-4100-9168-55e7b1d8dead (Lokalt ID)bb19a94c-2a20-4100-9168-55e7b1d8dead (Arkivnummer)bb19a94c-2a20-4100-9168-55e7b1d8dead (OAI)
Anmärkning

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

Tillgänglig från: 2016-09-29 Skapad: 2016-09-29 Senast uppdaterad: 2017-11-27Bibliografiskt granskad
Parida, A., Karim, R. & Thaduri, A. (2017). Guest Editorial. Journal of Quality in Maintenance Engineering, 23(3), 258-259
Öppna denna publikation i ny flik eller fönster >>Guest Editorial
2017 (Engelska)Ingår i: Journal of Quality in Maintenance Engineering, ISSN 1355-2511, E-ISSN 1758-7832, Vol. 23, nr 3, s. 258-259Artikel i tidskrift, Editorial material (Övrigt vetenskapligt) Published
Ort, förlag, år, upplaga, sidor
Emerald Group Publishing Limited, 2017
Nationell ämneskategori
Annan samhällsbyggnadsteknik
Forskningsämne
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-65111 (URN)10.1108/JQME-05-2017-0039 (DOI)2-s2.0-85027990510 (Scopus ID)
Tillgänglig från: 2017-08-15 Skapad: 2017-08-15 Senast uppdaterad: 2017-11-24Bibliografiskt granskad
Mishra, M., Odelius, J., Thaduri, A., Nissen, A. & Rantatalo, M. (2017). Particle filter-based prognostic approach for railway track geometry. Mechanical systems and signal processing, 96, 226-238
Öppna denna publikation i ny flik eller fönster >>Particle filter-based prognostic approach for railway track geometry
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2017 (Engelska)Ingår i: Mechanical systems and signal processing, ISSN 0888-3270, E-ISSN 1096-1216, Vol. 96, s. 226-238Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Track degradation of ballasted railway track systems has to be measured on a regular basis, and these tracks must be maintained by tamping. Tamping aims to restore the geometry to its original shape to ensure an efficient, comfortable and safe transportation system. To minimize the disturbance introduced by tamping, this action has to be planned in advance. Track degradation forecasts derived from regression methods are used to predict when the standard deviation of a specific track section will exceed a predefined maintenance or safety limit. This paper proposes a particle filter-based prognostic approach for railway track degradation; this approach is demonstrated by examining different railway switches. The standard deviation of the longitudinal track degradation is studied, and forecasts of the maintenance limit intersection are derived. The particle filter-based prognostic results are compared with the standard regression method results for four railway switches, and the particle filter method shows similar or better result for the four cases. For longer prediction times, the error of the proposed method is equal to or smaller than that of the regression method. The main advantage of the particle filter-based prognostic approach is its ability to generate a probabilistic result based on input parameters with uncertainties. The distributions of the input parameters propagate through the filter, and the remaining useful life is presented using a particle distribution.

Ort, förlag, år, upplaga, sidor
Elsevier, 2017
Nationell ämneskategori
Annan samhällsbyggnadsteknik
Forskningsämne
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-63143 (URN)10.1016/j.ymssp.2017.04.010 (DOI)000401886800015 ()2-s2.0-85019145932 (Scopus ID)
Anmärkning

Validerad; 2017; Nivå 2; 2017-04-25 (andbra)

Tillgänglig från: 2017-04-25 Skapad: 2017-04-25 Senast uppdaterad: 2018-09-13Bibliografiskt granskad
Thaduri, A. & Famurewa, S. M. (2017). Processing mining for maintenance decision support. In: Diego Galar, Dammika Seneviratne (Ed.), Proceedings of MPMM 2016: 6th International Conference on Maintenance Performance Measurement and Management, 28 November 2016, Luleå, Sweden. Paper presented at Maintenance Performance and Measurement and Management 2016(MPMM 2016). November 28, Luleå, Sweden (pp. 179-). Luleå: Luleå tekniska universitet
Öppna denna publikation i ny flik eller fönster >>Processing mining for maintenance decision support
2017 (Engelska)Ingår i: Proceedings of MPMM 2016: 6th International Conference on Maintenance Performance Measurement and Management, 28 November 2016, Luleå, Sweden / [ed] Diego Galar, Dammika Seneviratne, Luleå: Luleå tekniska universitet, 2017, s. 179-Konferensbidrag, Muntlig presentation med publicerat abstract (Refereegranskat)
Abstract [en]

Process mining is gaining importance for the classification, clustering, workflow models, process discovery, predictions and planning and scheduling in a process or events in especially business oriented fields. On the other hand, there are several events that are required to perform a maintenance action in various industries. There is a need to understand the process flow of events to reduce the delays to increase the performance of the maintenance action. This paper applies the concept of process mining to understand the events in a typical maintenance action (repair or replacement,). We implemented the process mining for administrative, logistic and repair delays for one section in Swedish Railway. We identified the bottlenecks in this process fordifferent subsystems for productive feedback to the railway industry.

Ort, förlag, år, upplaga, sidor
Luleå: Luleå tekniska universitet, 2017
Nationell ämneskategori
Annan samhällsbyggnadsteknik
Forskningsämne
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-63905 (URN)978-91-7583-841-0 (ISBN)
Konferens
Maintenance Performance and Measurement and Management 2016(MPMM 2016). November 28, Luleå, Sweden
Tillgänglig från: 2017-06-12 Skapad: 2017-06-12 Senast uppdaterad: 2018-06-25Bibliografiskt granskad
Thaduri, A., Galar, D., Kumar, U. & Verma, A. K. (2016). Context-Based Maintenance and Repair Shop Suggestion for a Moving Vehicle (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. 67-81). : Encyclopedia of Global Archaeology/Springer Verlag
Öppna denna publikation i ny flik eller fönster >>Context-Based Maintenance and Repair Shop Suggestion for a Moving Vehicle
2016 (Engelska)Ingår i: 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, s. 67-81Konferensbidrag, Publicerat paper (Refereegranskat)
Abstract [en]

Maintenance of moving vehicles is quite challenging because they may disrupt the normal flow of transportation due to unexpected breakdowns, slowdowns and stoppages. In order to avoid stoppages and to minimize the downtime, maintenance and condition monitoring systems must be optimized. On one hand the condition monitoring on board should provide automatic failure detection, identification and localization together with a prognostic of the future failures. On the other hand maintenance logistics and product supportability must be also optimized since the onboard system should provide a suggestion of a repair shop that depends on location, cost and availability of spare parts, technicians’ skills and queuing time for repairs. However the vehicles are independent assets interacting among them within the traffic system and also interacting with the infrastructure (roads, rails etc.) seriously affected by weather, maintenance of infra, regulations etc. Therefore the proposed solution is to equip the vehicles with a context-aware system that monitors the condition and maintenance schedules of parts and alarm the driver of the parts that are in near to repair cycle. This system will perform risk analysis and will communicate with the cloud propose a decision of selection of repair shop on the location and path of vehicle depending on weather, road and traffic, cost and availability of spare parts at respective repair shops based on risk assessment and prediction. The information contained in the cloud will also communicate the workshop that will book time slot and block the necessary spare parts for the coming vehicle minimizing waiting time. This mechanism will help in reducing unexpected stoppages, vehicle degradation and efficient spare parts management combining in a successful way the workload of the workshops from both natural sources, the time based inspections and repairs together with the reactive maintenance coming from unexpected breakdown

Ort, förlag, år, upplaga, sidor
Encyclopedia of Global Archaeology/Springer Verlag, 2016
Serie
Lecture Notes in Mechanical Engineering, ISSN 2195-4356
Nationell ämneskategori
Annan samhällsbyggnadsteknik
Forskningsämne
Drift och underhållsteknik
Identifikatorer
urn:nbn:se:ltu:diva-27114 (URN)10.1007/978-3-319-23597-4_6 (DOI)073fe446-2596-4d21-8ba1-6479eddcb45c (Lokalt ID)978-3-319-23596-7 (ISBN)978-3-319-23597-4 (ISBN)073fe446-2596-4d21-8ba1-6479eddcb45c (Arkivnummer)073fe446-2596-4d21-8ba1-6479eddcb45c (OAI)
Konferens
International Conference ICRESH-ARMS 2015 : 01/06/2015 - 04/06/2015
Anmärkning
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. ; 20151222 (andbra)Tillgänglig från: 2016-09-30 Skapad: 2016-09-30 Senast uppdaterad: 2017-11-25Bibliografiskt granskad
Organisationer
Identifikatorer
ORCID-id: ORCID iD iconorcid.org/0000-0002-1938-0985

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