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Publications (10 of 24) Show all publications
Månsson, A., Brander, L. & Ekman, J. (2022). BETCRETE 2.0 - Tillståndsprocesser : En nulägesbeskrivning.
Open this publication in new window or tab >>BETCRETE 2.0 - Tillståndsprocesser : En nulägesbeskrivning
2022 (Swedish)Report (Other academic)
Abstract [sv]

Denna rapport sammanfattar författarnas arbete med att undersöka förbättringsmöjligheter hos dagens tillståndsprocesser, ett arbete som bedrivits under perioden januari 2021 till juli 2022. Arbetet har finansierats av VINNOVA UDI 2 - BETCRETE 2.0 och RISE kompetensmedel. I det inledande avsnittet “De fossilfria färdplanerna” beskrivs tillståndsprocessers betydelse för att uppnå målen med de fossilfria färdplanerna, branschernas åsikter om hur tillståndsprocesser fungerar idag och de förhoppningar som gäller förändringar av tillståndsprocesser, för att gå i mål med färdplanerna. Avsnittet "Tillämplig lagstiftning för brytande verksamhet" handlar framför allt om den lagstiftning som ligger till grund för tillståndsprövningar av täkter och liknande verksamhet. I detta avsnitt gås bland annat prövningsprocessens olika steg igenom. Avsnittet "Statistik kring miljötillståndsprövningen" sammanfattar framförallt delar av Naturvårdsverkets rapport från 2022-05-13, "Uppdrag att samla in och analysera statistik för miljötillståndsprövningen för år 2021". Under rubriken "Relevanta aktuella utredningar och deras förslag" redovisas en genomgång av utredningar som väsentligen handlar om förändringar av lagstiftningen rörande tillståndsprocesser. De olika utredningarna ger en inblick i tankar kring och ambitioner med förändringar av lagstiftningen. Utredningar som beskrivs är Klimaträttsutredningen som handlar om hur förutsättningar för att Sveriges klimatmål ska kunna nås skapas, Miljöprövningsutredningen som handlar om att uppnå en modernare och mer effektiv miljöprövning, samt Utredning om hållbar försörjning av innovationskritiska metaller och mineral som handlar om ökad försörjningsberedskap för varor och tjänster. Utöver aktuella utredningar som handlar om eller berör tillståndsprocesser beskrivs också ett antal regeringsuppdrag som är relevanta för tillståndsprocesserna: Ökad försörjningsberedskap för varor och tjänster från industrin handlar om det uppdrag om ökad försörjningsberedskap regeringen gett till en särskild utredare, och i Regleringsbrev för budgetåret 2022 avseende länsstyrelserna ger regeringen bland annat uppdrag till länsstyrelserna som rör miljö-tillståndsprövningen. Slutligen sammanfattas rapporten Naturvårdsverkets rapport 7002 Miljöbedömningar. Under rubriken Aktuella fall beskrivs ett aktuellt miljöprövningsärende som gäller LKAB och ett potentiellt fall som handlar om Kalcinerade leror. Rapporten avslutas med avsnittet Digitala verktyg, som handlar om vad digitalisering och AI-metoder kan bidra med till olika förbättringar av tillståndsprocesserna.

Publisher
p. 55
Series
RISE Rapport ; 2022:106
National Category
Other Materials Engineering
Identifiers
urn:nbn:se:ri:diva-60125 (URN)978-91-89711-51-8 (ISBN)
Note

2022-09-22: ny version av fulltext 

Available from: 2022-09-16 Created: 2022-09-16 Last updated: 2024-03-25Bibliographically approved
Kans, M., Ingwald, A., Strömberg, A.-B., Patriksson, M., Ekman, J., Holst, A. & Rudström, Å. (2022). Data Driven Maintenance: A Promising Way of Action for Future Industrial Services Management. In: Lecture Notes in Mechanical Engineering: . Paper presented at International Congress and Workshop on Industrial AI, IAI 2021, Virtual, Online, 6 October 2021 through 7 October 2021 (pp. 212-223). Springer Science and Business Media Deutschland GmbH
Open this publication in new window or tab >>Data Driven Maintenance: A Promising Way of Action for Future Industrial Services Management
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2022 (English)In: Lecture Notes in Mechanical Engineering, Springer Science and Business Media Deutschland GmbH , 2022, p. 212-223Conference paper, Published paper (Refereed)
Abstract [en]

Maintenance and services of products as well as processes are pivotal for achieving high availability and avoiding catastrophic and costly failures. At the same time, maintenance is routinely performed more frequently than necessary, replacing possibly functional components, which has negative economic impact on the maintenance. New processes and products need to fulfil increased environmental demands, while customers put increasing demands on customization and coordination. Hence, improved maintenance processes possess very high potentials, economically as well as environmentally. The shifting demands on product development and production processes have led to the emergency of new digital solutions as well as new business models, such as integrated product-service offerings. Still, the general maintenance problem of how to perform the right service at the right time, taking available information and given limitations is valid. The project Future Industrial Services Management (FUSE) project was a step in a long-term effort for catalysing the evolution of maintenance and production in the current digital era. In this paper, several aspects of the general maintenance problem are discussed from a data driven perspective, spanning from technology solutions and organizational requirements to new business opportunities and how to create optimal maintenance plans. One of the main results of the project, in the form of a simulation tool for strategy selection, is also described.

Place, publisher, year, edition, pages
Springer Science and Business Media Deutschland GmbH, 2022
Keywords
Data driven maintenance, Maintenance planning, Service-related business models, Simulation tool
National Category
Computer Sciences
Identifiers
urn:nbn:se:ri:diva-59768 (URN)10.1007/978-3-030-93639-6_18 (DOI)2-s2.0-85125283057 (Scopus ID)9783030936389 (ISBN)
Conference
International Congress and Workshop on Industrial AI, IAI 2021, Virtual, Online, 6 October 2021 through 7 October 2021
Available from: 2022-07-07 Created: 2022-07-07 Last updated: 2023-05-09Bibliographically approved
Holst, A., Bjurling, B., Ekman, J., Rudström, Å., Wallenius, K., Björkman, M., . . . Trönninger, J. (2012). A joint statistical and symbolic anomaly detection system: Increasing performance in maritime surveillance. In: 15th International Conference on Information Fusion, FUSION 2012: . Paper presented at 15th International Conference on Information Fusion, FUSION 2012, 7 September 2012 through 12 September 2012, Singapore (pp. 1919-1926). , Article ID 6290535.
Open this publication in new window or tab >>A joint statistical and symbolic anomaly detection system: Increasing performance in maritime surveillance
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2012 (English)In: 15th International Conference on Information Fusion, FUSION 2012, 2012, p. 1919-1926, article id 6290535Conference paper, Published paper (Refereed)
Abstract [en]

The need for improving the capability to detect illegal or hazardous activities and yet reducing the workload of operators involved in various surveillance tasks calls for research on more capable automatic tools. To maximize their performance, these tools should be able to combine automatic capturing of normal behavior from data with domain knowledge in the form of human descriptions. In a proposed Joint Statistical and Symbolic Anomaly Detection System, statistical and symbolic methods are tightly integrated in order to detect the majority of critical events in the situation while minimizing unwanted alerts. We exemplify the proposed system in the domain of maritime surveillance.

Keywords
anomaly detection, data driven methods, knowledge driven methods, maritime domain awareness, situation assessement, statistical methods, surveillance, symbolic methods, Data-driven methods, Digital storage, Information fusion, Space surveillance, Monitoring
National Category
Engineering and Technology
Identifiers
urn:nbn:se:ri:diva-51716 (URN)2-s2.0-84867645582 (Scopus ID)9780982443859 (ISBN)
Conference
15th International Conference on Information Fusion, FUSION 2012, 7 September 2012 through 12 September 2012, Singapore
Available from: 2021-01-13 Created: 2021-01-13 Last updated: 2023-05-09Bibliographically approved
Bohlin, M., Holst, A., Ekman, J., Sellin, O., Lindström, B. & Larsen, S. (2012). Statistical Anomaly Detection for Train Fleets (9ed.). In: : . Paper presented at Proceedings of the 21st Innovative Applications of Artificial Intelligence Conference (pp. 2217-2223). Toronto, Canada, 3
Open this publication in new window or tab >>Statistical Anomaly Detection for Train Fleets
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2012 (English)Conference paper, Published paper (Refereed)
Abstract [en]

We have developed a method for statistical anomaly detection which has been deployed in a tool for condition monitoring of train fleets. The tool is currently used by several railway operators over the world to inspect and visualize the occurrence of "event messages" generated on the trains. The anomaly detection component helps the operators to quickly find significant deviations from normal behavior and to detect early indications for possible problems. The savings in maintenance costs comes mainly from avoiding costly breakdowns, and have been estimated to several million Euros per year for the tool. In the long run, it is expected that maintenance costs can be reduced with between 5 and 10 % by using the tool.

Place, publisher, year, edition, pages
Toronto, Canada: , 2012 Edition: 9
Keywords
Anomaly detection, Maintenance cost, Normal behavior, Railway operators, Statistical anomaly detection, Train fleets
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-24031 (URN)2-s2.0-84868290884 (Scopus ID)9781577355687 (ISBN)
Conference
Proceedings of the 21st Innovative Applications of Artificial Intelligence Conference
Projects
DUST
Note

Accepted for publication.

Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2023-05-09Bibliographically approved
Ekman, J., Holst, A. & Jonasson, A. (2011). Condition based maintenance of trains doors (7ed.). Kista, Sweden: Swedish Institute of Computer Science
Open this publication in new window or tab >>Condition based maintenance of trains doors
2011 (English)Report (Other academic)
Abstract [en]

As part of the project DUST financed by Vinnova, we have investigated whether event data generated on trains can be used for finding evidence of wear on train doors. We have compared the event data and maintenance reports relating to doors of Regina trains. Although some interesting relations were found, the overall result is that the information in event data about wear of doors is very limited.

Place, publisher, year, edition, pages
Kista, Sweden: Swedish Institute of Computer Science, 2011 Edition: 7
Series
SICS Technical Report, ISSN 1100-3154 ; 2011:15
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-24012 (URN)
Projects
DUST
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2023-05-09Bibliographically approved
Holst, A. & Ekman, J. (2011). Incremental stream clustering for anomaly detection and classification. (7ed.). In: : . Paper presented at Eleventh Scandinavian Conference on Artificial Intelligence, SCAI 2011 (pp. 100-107).
Open this publication in new window or tab >>Incremental stream clustering for anomaly detection and classification.
2011 (English)Conference paper, Published paper (Refereed)
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-23998 (URN)
Conference
Eleventh Scandinavian Conference on Artificial Intelligence, SCAI 2011
Projects
Anomaly detection
Note

In Kofod-Petersen A., Heintz F. and Langseth H. (eds): Eleventh Scandinavian Conference on Artificial Intelligence, SCAI 2011. IOS Press, 2011.

Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2023-05-09Bibliographically approved
Ekman, J. (2011). Kaban -- A tool for analysis of railway capacity (14ed.). WIT Transactions on Modelling and Simulation, 693-702
Open this publication in new window or tab >>Kaban -- A tool for analysis of railway capacity
2011 (English)In: WIT Transactions on Modelling and Simulation, ISSN 1746-4064, E-ISSN 1743-355X, p. 693-702Article in journal (Refereed) Published
Abstract [en]

The capacity analysis tool Kaban aims at being efficient for examining if planned infrastructure meets the expected need for railway capacity. Infrastructure, safety rules, signalling and traffic are all modelled in great detail in Kaban and hence the tool is a useful support for signalling design. The tool is also useful for finding out which routing and what train order suits existing or planned track layout. The idea of Kaban is that traffic patterns can be modelled as discrete event systems, with the minimum cycle time as a capacity measure. This measure answers the question if a certain timetable is possible at a station and tells how much buffer time there is. Kaban also presents results on what is critical for the capacity, aiming at explaining how to adjust to increase capacity. The GUI of Kaban displays the infrastructure and train paths and takes care of the user interaction. The development of Kaban is supported by the Swedish Transport Administration (Trafikverket).

Place, publisher, year, edition, pages
WIT Press, 2011 Edition: 14
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-23904 (URN)
Projects
KABAN
Note

The paper was presented at the COMPRAIL conference in Beijing 2010 (Computers in Railways XII: Computer System Design and Operation in Railways and Other Transit Systems), but published in this conference proceedings for administrative reasons (Computational Methods and Experimental Measurements)

Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2020-12-01Bibliographically approved
Bohlin, M., Ekman, J. & Holst, A. (2011). The opportunistic replacement and inspection problem for components with a stochastic life time (6ed.). Kista, Sweden: Swedish Institute of Computer Science
Open this publication in new window or tab >>The opportunistic replacement and inspection problem for components with a stochastic life time
2011 (English)Report (Other academic)
Abstract [en]

The problem of finding efficient maintenance and inspection schemes in the case of components with a stochastic life time is studied and a mixed integer programming solution is proposed. The problem is compared with the two simpler problems of which the studied problem is a generalisation: The opportunistic replacement problem, assuming components with a deterministic life time and The opportunistic replacement problem for components with a stochastic life time, for maintenance schemes without inspections.

Place, publisher, year, edition, pages
Kista, Sweden: Swedish Institute of Computer Science, 2011 Edition: 6
Series
SICS Technical Report, ISSN 1100-3154 ; 2011:16
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-24013 (URN)
Projects
DUST
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2023-05-09Bibliographically approved
Ekman, J. & Holst, A. (2008). Incremental stream clustering and anomaly detection (1ed.). Swedish Institute of Computer Science
Open this publication in new window or tab >>Incremental stream clustering and anomaly detection
2008 (English)Report (Other academic)
Abstract [en]

This report concerns the "ISC-tool", a tool for classification of patterns and detection of anomalous patterns, where a pattern is a set of values. The tool has a graphical user interface "the anomalo-meter" that shows the degree of anomaly of a pattern and how it is classified. The report describes the user interaction with the tool and the underlying statistical methods used, which basically are Bayesian inference for finding expected or "predictive" distributions for clusters of patterns and using these distributions for classifying and assessing a degree of anomaly to a new pattern. The report also briefly discusses what in general are appropriate methods for clustering and anomaly detection. The project has been supported by SSF via the Butler2 programme.

Place, publisher, year, edition, pages
Swedish Institute of Computer Science, 2008. p. 55 Edition: 1
Series
SICS Technical Report, ISSN 1100-3154 ; 2008:01
Keywords
Incremental Clustering, Anomaly detection, Bayesian Statistics, Classification
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-22486 (URN)
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2023-05-09Bibliographically approved
Holst, A., Ekman, J. & Larsen, S. (2006). Abnormality detection in event data and condition counters on Regina trains (1ed.). In: The IETInternational Conference on Railway Condition Monitoring 2006: . Paper presented at Proceedings of the IET International Conference on Railway Condition Monitoring 2006 (RCM 2006), 29-30 November 2006, Birmingham, UK (pp. 53-56).
Open this publication in new window or tab >>Abnormality detection in event data and condition counters on Regina trains
2006 (English)In: The IETInternational Conference on Railway Condition Monitoring 2006, 2006, 1, , p. 4p. 53-56Conference paper, Published paper (Refereed)
Abstract [en]

The Regina trains, manufactured by Bombardier Transportation, contain software and hardware to generate as well condition data as event data that can be used to monitor the condition of the trains. In this paper we present the necessary equations for abnormality detection of both event data and condition counters in a general setting. The use of the equations is illustrated on authentic data from Regina trains.

Publisher
p. 4
Keywords
Condition monitoring, Statistical anomaly detection, Bayesian statistics.
National Category
Computer and Information Sciences
Identifiers
urn:nbn:se:ri:diva-23491 (URN)
Conference
Proceedings of the IET International Conference on Railway Condition Monitoring 2006 (RCM 2006), 29-30 November 2006, Birmingham, UK
Projects
TIDOP
Available from: 2016-10-31 Created: 2016-10-31 Last updated: 2023-05-09Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-7181-8411

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