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Publications (10 of 72) Show all publications
Söderholm, P. (2024). Dependability Management Framework and System Model for Railway Improvements. In: International Congress and Workshop on Industrial AI and eMaintenance 2023: . Paper presented at 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023 (pp. 737-749). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Dependability Management Framework and System Model for Railway Improvements
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024, p. 737-749Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Reliability and Maintenance
Research subject
Economics
Identifiers
urn:nbn:se:ltu:diva-103914 (URN)10.1007/978-3-031-39619-9_54 (DOI)2-s2.0-85181984614 (Scopus ID)
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023
Available from: 2024-01-24 Created: 2024-01-24 Last updated: 2024-01-24Bibliographically approved
Söderholm, P. & Ahmadi, A. (2024). Integrated Enterprise Risk Management and Industrial Artificial Intelligence in Railway. In: International Congress and Workshop on Industrial AI and eMaintenance 2023: . Paper presented at 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023 (pp. 569-583). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Integrated Enterprise Risk Management and Industrial Artificial Intelligence in Railway
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024, p. 569-583Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Reliability and Maintenance
Research subject
Operation and Maintenance Engineering
Identifiers
urn:nbn:se:ltu:diva-103878 (URN)10.1007/978-3-031-39619-9_42 (DOI)2-s2.0-85181980834 (Scopus ID)
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023
Funder
Vinnova
Available from: 2024-01-23 Created: 2024-01-23 Last updated: 2024-01-23Bibliographically approved
Söderholm, P. (2024). Risk-Based Dependability Assessment of Digitalised Condition-Based Maintenance in Railway Part I–FMECA. In: International Congress and Workshop on Industrial AI and eMaintenance 2023: . Paper presented at 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023 (pp. 205-219). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Risk-Based Dependability Assessment of Digitalised Condition-Based Maintenance in Railway Part I–FMECA
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024, p. 205-219Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Reliability and Maintenance Other Civil Engineering
Research subject
Quality Technology and Logistics
Identifiers
urn:nbn:se:ltu:diva-103884 (URN)10.1007/978-3-031-39619-9_15 (DOI)2-s2.0-85181981414 (Scopus ID)
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023
Available from: 2024-01-23 Created: 2024-01-23 Last updated: 2024-01-23Bibliographically approved
Söderholm, P. & Akersten, P. A. (2024). Risk-Based Dependability Assessment of Digitalised Condition-Based Maintenance in Railway—Part II–Event Tree Analysis (ETA). In: International Congress and Workshop on Industrial AI and eMaintenance 2023: . Paper presented at 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023,Luleå,Sweden,June 13-15,2023 (pp. 161-178). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Risk-Based Dependability Assessment of Digitalised Condition-Based Maintenance in Railway—Part II–Event Tree Analysis (ETA)
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024, p. 161-178Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Reliability and Maintenance
Research subject
Quality Technology and Logistics
Identifiers
urn:nbn:se:ltu:diva-103885 (URN)10.1007/978-3-031-39619-9_12 (DOI)2-s2.0-85181981792 (Scopus ID)
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023,Luleå,Sweden,June 13-15,2023
Available from: 2024-01-23 Created: 2024-01-23 Last updated: 2024-01-23Bibliographically approved
Söderholm, P. & Wikberg, L. (2024). Risk-Based Safety Improvements in Railway Asset Management. In: International Congress and Workshop on Industrial AI and eMaintenance 2023: . Paper presented at 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023,Luleå,Sweden,June 13-15,2023 (pp. 45-59). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Risk-Based Safety Improvements in Railway Asset Management
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024, p. 45-59Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Reliability and Maintenance
Research subject
Quality Technology and Logistics
Identifiers
urn:nbn:se:ltu:diva-103881 (URN)10.1007/978-3-031-39619-9_4 (DOI)2-s2.0-85181981136 (Scopus ID)
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023,Luleå,Sweden,June 13-15,2023
Note

Funder: Reality Lab Digital Railway (TRV 2017/67785);

Available from: 2024-01-23 Created: 2024-01-23 Last updated: 2024-01-23Bibliographically approved
Granström, R. & Söderholm, P. (2024). Systematic Dependability Improvements Within Railway Asset Management. In: International Congress and Workshop on Industrial AI and eMaintenance 2023: . Paper presented at 7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023 (pp. 129-143). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Systematic Dependability Improvements Within Railway Asset Management
2024 (English)In: International Congress and Workshop on Industrial AI and eMaintenance 2023, Springer Science and Business Media Deutschland GmbH , 2024, p. 129-143Conference paper, Published paper (Other academic)
Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2024
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
National Category
Reliability and Maintenance
Research subject
Quality Technology and Logistics
Identifiers
urn:nbn:se:ltu:diva-103875 (URN)10.1007/978-3-031-39619-9_10 (DOI)2-s2.0-85181978792 (Scopus ID)
Conference
7th International Congress and Workshop on Industrial AI and eMaintenance, IAI 2023, Luleå, Sweden, June 13-15, 2023
Funder
Swedish Transport Administration, TRV 2022/29194
Note

Funder: Reality Lab Digital Railway (TRV 2017/67785);

Available from: 2024-01-23 Created: 2024-01-23 Last updated: 2024-01-23Bibliographically approved
Kulahci, M., Bergquist, B. & Söderholm, P. (2022). Autonomous Anomaly Detection and Handling of Spatiotemporal Railway Data. In: Ramin Karim; Alireza Ahmadi; Iman Soleimanmeigouni; Ravdeep Kour; Raj Rao (Ed.), International Congress and Workshop on Industrial AI 2021: . Paper presented at International Congress and Workshop on Industrial AI (IAI 2021), Luleå, Sweden, October 5-7, 2021 (pp. 65-72). Springer, 1
Open this publication in new window or tab >>Autonomous Anomaly Detection and Handling of Spatiotemporal Railway Data
2022 (English)In: International Congress and Workshop on Industrial AI 2021 / [ed] Ramin Karim; Alireza Ahmadi; Iman Soleimanmeigouni; Ravdeep Kour; Raj Rao, Springer, 2022, Vol. 1, p. 65-72Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
Springer, 2022
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356, E-ISSN 2195-4364
Keywords
Data cleansing, Data filtering, Outlier detection, Prognostics, Time series analysis
National Category
Other Civil Engineering
Research subject
Quality technology and logistics
Identifiers
urn:nbn:se:ltu:diva-89297 (URN)10.1007/978-3-030-93639-6_6 (DOI)000777604600006 ()2-s2.0-85125261833 (Scopus ID)
Conference
International Congress and Workshop on Industrial AI (IAI 2021), Luleå, Sweden, October 5-7, 2021
Note

ISBN för värdpublikation: 978-3-030-93638-9, 978-3-030-93639-6

Available from: 2022-02-15 Created: 2022-02-15 Last updated: 2022-07-05Bibliographically approved
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
Keywords
Testbed Railway, Implementation of innovations, Multi-organisational collaboration
National Category
Transport Systems and Logistics Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-75968 (URN)
Conference
International Heavy Haul STS Conference (IHHA 2019), Narvik, Norway, June 12-14, 2019
Funder
Swedish Transport AdministrationLuleå Railway Research Centre (JVTC)
Note

ISBN för värdpublikation: 9780911382709; 9780911382716 

Available from: 2019-09-11 Created: 2019-09-11 Last updated: 2021-06-08Bibliographically approved
Stenström, C. & Söderholm, P. (2019). Applying Eurostat’s ESS handbook for quality reportson Railway Maintenance Data. 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. 473-480). International Heavy Haul Association (IHHA)
Open this publication in new window or tab >>Applying Eurostat’s ESS handbook for quality reportson Railway Maintenance Data
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. 473-480Conference paper, Published paper (Refereed)
Abstract [en]

The importance of data quality has become more evident with the digitalization trend and development of new asset management frameworks. Digitalization has changed maintenance work by an increasing share of condition monitoring and digitalized work order processes, which for rail infrastructure and rolling stock give rise to data sets qualifying as big data. Asset management in turn, has progressed significantly the last decades as a response to digitalization, as well as due to a changing organisational culture. ISO 55000, perhaps the best known asset management guidelines, has been adapted to railways by UIC (International Union of Railways), and the EU-projects In2Rail and In2Smart. However, the quality of the data collected has become a growing concern that has not been adequately addressed in asset management. In this study, Eurostat’s ESS (European Statistical System) handbook for quality reports has been adapted and applied to railway maintenance data. The results include a case study on data quality reporting and performance indicator specification. Practical implications are believed to be that the study will support a more structured process towards data quality management, which in turn can aid decision-making, for example by more accurate cost-benefit analysis of preventive maintenance.

Place, publisher, year, edition, pages
International Heavy Haul Association (IHHA), 2019
Keywords
data quality, quality reporting, quality assurance framework, maintenance, asset management, European Statistical System (ESS), Eurostat, railway
National Category
Reliability and Maintenance
Research subject
Operation and Maintenance; Quality technology and logistics
Identifiers
urn:nbn:se:ltu:diva-75026 (URN)
Conference
International Heavy Haul STS Conference (IHHA 2019), Narvik, Norway, June 12-14, 2019
Note

ISBN för värdpublikation: 9780911382709; 9780911382716 

Available from: 2019-06-26 Created: 2019-06-26 Last updated: 2022-06-29Bibliographically 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
Show others...
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.

Keywords
Change management, digitalisation, railway, risk management, implementing innovation, framework for implementation
National Category
Transport Systems and Logistics Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-75966 (URN)9780911382716 (ISBN)9780911382709 (ISBN)
Conference
International Heavy Haul Association (IHHA) STS 2019, 10-14th June 2019, Narvik, Norway.
Available from: 2019-09-11 Created: 2019-09-11 Last updated: 2019-10-21Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-6479-9101

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