Change search
Link to record
Permanent link

Direct link
BETA
Publications (10 of 48) Show all publications
Kour, R., Al-Jumaili, M., Karim, R. & Tretten, P. (2019). eMaintenance in railways: Issues and challenges in cybersecurity. Proceedings of the Institution of mechanical engineers. Part F, journal of rail and rapid transit
Open this publication in new window or tab >>eMaintenance in railways: Issues and challenges in cybersecurity
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]

The convergence of information technology and operation technology and the associated paradigm shift toward Industry 4.0 in complex systems, such as railways has brought significant benefits in reliability, maintainability, operational efficiency, capacity, as well as improvements in passenger experience. However, with the adoption of information and communications technologies in railway maintenance, vulnerability to cyber threats has increased. It is essential that organizations move toward security analytics and automation to improve and prevent security breaches and to quickly identify and respond to security events. This paper provides a statistical review of cybersecurity incidents in the transportation sector with a focus on railways. It uses a web-based search for data collection in popular databases. The overall objective is to identify cybersecurity challenges in the railway sector.

Place, publisher, year, edition, pages
Sage Publications, 2019
Keywords
Cybersecurity, railway, eMaintenance, challenges
National Category
Engineering and Technology Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-72536 (URN)10.1177/0954409718822915 (DOI)
Available from: 2019-01-14 Created: 2019-01-14 Last updated: 2019-01-30
Al-Jumaili, M., Karim, R. & Tretten, P. (2018). Data quality assessment using multi-attribute: maintenance perspective. International Journal of Information and Decision Sciences, 10(2), 147-161
Open this publication in new window or tab >>Data quality assessment using multi-attribute: maintenance perspective
2018 (English)In: International Journal of Information and Decision Sciences, ISSN 1756-7017, E-ISSN 1756-7025, Vol. 10, no 2, p. 147-161Article in journal (Refereed) Published
Abstract [en]

The paper proposes a model for data quality (DQ) assessment in maintenance. Data has become an increasingly important since most of the maintenance planning and implementations are based on data analysis. Poor DQ reduces customer satisfaction, leading to poor decision making, and has negative impacts on strategy execution. To improve DQ as well as to evaluate the current status, DQ needs to be measured. A measure for DQ could be an important support for decision makers. Multi-criteria decision-making (MCDM) methods can provide a framework for DQ assessment, however, they are not used in literature for DQ assessment. In order to assess DQ, the attributes or KPIs need to be defined, their hierarchy should be designed and the assessment model is proposed to evaluate these attributes. A case study is also presented in this paper. The study shows that MCDM methods could provide qualitative estimation for the quality of DQ attributes.

Place, publisher, year, edition, pages
InderScience Publishers, 2018
Keywords
Data quality, data science, eMaintenance
National Category
Engineering and Technology Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-69215 (URN)10.1504/IJIDS.2018.092423 (DOI)2-s2.0-85048767333 (Scopus ID)
Note

Validerad;2018;Nivå 1;2018-06-21 (svasva)

Available from: 2018-06-08 Created: 2018-06-08 Last updated: 2018-06-29Bibliographically approved
Al-Douri, Y. K. & Tretten, P. (2017). A critical review of Information Assurance (IA) framework forcondition-based maintenance of railway tracks (ed.). In: (Ed.), Walls L.,Revie M.,Bedford T (Ed.), Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016. Paper presented at European Safety and Reliability Conference (ESREL 2016), Glasgow, 25/09/2016 - 29/09/2016 (pp. 1072-1078). London: CRC Press
Open this publication in new window or tab >>A critical review of Information Assurance (IA) framework forcondition-based maintenance of railway tracks
2017 (English)In: Risk, Reliability and Safety: Innovating Theory and Practice - Proceedings of the 26th European Safety and Reliability Conference, ESREL 2016 / [ed] Walls L.,Revie M.,Bedford T, London: CRC Press, 2017, p. 1072-1078Conference paper, Published paper (Refereed)
Abstract [en]

Railway maintenance is faced with increasing demands, including the need to improve service.Data measuring the track state and suitable models or applications are needed to make good maintenancedecisions. This critical review paper investigates many research papers on the use of information assurance (IA)within condition-based maintenance (CBM) on a railway track. An IA framework sheds light on the data andinformation used to make maintenance decisions. The paper considers work on data processing and decisionmakingin CBM. The results show condition monitoring suffers from an inability to determine exact positioningon the track; some data are inaccurate or unavailable. Existing studies have not adequately dealt with data contentor the various technologies used. They focus on integrity, availability, authentication, authorisation and accuracy,but do not consider other IA principles important to understand data.CBMmodels and algorithms have difficultyunderstanding degradation models, and data problems mean it is difficult to make good decisions. There is alack of long term maintenance plans. Models also need to be integrated for more realistic but not necessarilyoptimum solutions and to ensure practical predictions of maintenance. Some models focus on degradation, othersconsider prediction, and still others calculate the maintenance cost; it is difficult to combine these. Overall, dataare inaccurate, there is no testing phase using realistic data, and existing models are insufficient. This has anegative impact on maintenance decisions.

Place, publisher, year, edition, pages
London: CRC Press, 2017
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-38175 (URN)000414164700151 ()2-s2.0-85016196837 (Scopus ID)c7c4730e-2cd0-4de0-808d-08e4869ca931 (Local ID)978-1-138-02997-2 (ISBN)978-1-315-37498-7 (ISBN)c7c4730e-2cd0-4de0-808d-08e4869ca931 (Archive number)c7c4730e-2cd0-4de0-808d-08e4869ca931 (OAI)
Conference
European Safety and Reliability Conference (ESREL 2016), Glasgow, 25/09/2016 - 29/09/2016
Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-05-07Bibliographically approved
Parida, A. & Tretten, P. (2017). Condition Monitoring and Diagnosis of Modern Dynamic Complex Systems using Criticality aspect of Key Performance Indicators. International Journal of COMADEM, 20(1), 35-39
Open this publication in new window or tab >>Condition Monitoring and Diagnosis of Modern Dynamic Complex Systems using Criticality aspect of Key Performance Indicators
2017 (English)In: International Journal of COMADEM, ISSN 1363-7681, Vol. 20, no 1, p. 35-39Article in journal (Refereed) Published
Abstract [en]

Proactive condition monitoring, diagnosis and prognosis of modern complex engineering systems are becoming an increasingly challenging issue. This is mainly attributed to the dynamic global scenario and the ever increasing stakeholders conflicting interests. One of the most important missing links that is often given a low priority while assessing the health of a complex dynamic system is the key criticality of the system in question. This paper discusses some of the challenging issues facing the Asset Management personnel and highlights the importance of incorporating criticality aspect of the key performance indicator in the diagnosis and prognosis of all modern complex systems.

Place, publisher, year, edition, pages
Birmingham, UK: COMADEM International, 2017
Keywords
Asset Management; Condition Monitoring, Key Performance Indicators, diagnosis, prognosis.
National Category
Reliability and Maintenance Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-67466 (URN)2-s2.0-85048751238 (Scopus ID)
Available from: 2018-02-02 Created: 2018-02-02 Last updated: 2019-01-30Bibliographically approved
Al-Douri, Y. K., Tretten, P. & Karim, R. (2016). Improvement of Railway Performance: A Study of Swedish Railway Infrastructure (ed.). Journal of Modern Transportation, 24(1), 22-37, Article ID 2.
Open this publication in new window or tab >>Improvement of Railway Performance: A Study of Swedish Railway Infrastructure
2016 (English)In: Journal of Modern Transportation, ISSN 2095-087X, E-ISSN 2196-0577, Vol. 24, no 1, p. 22-37, article id 2Article in journal (Refereed) Published
Abstract [en]

The volume of rail traffic was increased by 5% from 2006 to 2010, in Sweden, due to increased goods and passenger traffic. This increased traffic, in turn, has led to a more rapid degradation of the railway track, which has resulted in higher maintenance costs. In general, degradation affects comfort, safety, and track quality, as well as, reliability, availability, speed, and overall railway performance. This case study investigated the needs of railway stakeholders responsible for analysing the track state and what information is necessary to make good maintenance decisions. The goal is to improve the railway track performance by ensuring increased availability, reliability, and safety, along with a decreased maintenance cost. Interviews of eight experts were undertaken to learn of general areas in need of improvement, and a quantitative analysis of condition monitoring data was conducted to find more specific information. The results show that by implementing a long-term maintenance strategy and by conducting preventive maintenance actions maintenance costs would be reduced. In addition to that, problems with measured data, missing data, and incorrect location data resulted in increased and unnecessary maintenance tasks. The conclusions show that proactive solutions are needed to reach the desired goals of improved safety, improved availability and improved reliability. This also includes the development of a visualisation tool and a life cycle cost model for maintenance strategies.

National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-6764 (URN)10.1007/s40534-015-0092-0 (DOI)000373117100002 ()2-s2.0-85016228183 (Scopus ID)50d53c30-5089-413d-8b4e-dc7abce009a0 (Local ID)50d53c30-5089-413d-8b4e-dc7abce009a0 (Archive number)50d53c30-5089-413d-8b4e-dc7abce009a0 (OAI)
Note

Validerad; 2016; Nivå 2; 20151124 (yamald)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Tretten, P. (2016). Is Kinect suitable for Ergonomic Evaluation? (ed.). In: (Ed.), : . Paper presented at Human Factors and Ergonomics Society Europe Annual Meeting : 14/10/2015 - 16/10/2015.
Open this publication in new window or tab >>Is Kinect suitable for Ergonomic Evaluation?
2016 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

Motion Capture solutions are very expensive and Digital Human Model simulations are time consuming. Off the shelf solutions like Kinect show potential as a cheaper and more flexible method. By using both Kinect and DHM tools together, physical measurements can be produced and analyzed. This study was an investigation on how Motion Capture Technology can be used as an ergonomic assessment tool in the product development process of truck cabs. A literature study to assess relevant methods and tools led to the testing of several 3D camera and 3D manikin solutions. The results showed that the Kinect could be used together with IMMA software to measure truck driver’s motions outside of the cab. This included the use of ergonomic assessment tools. Presently, the technology is limited and the software needs to be developed further but it shows much potential.

National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-30870 (URN)4da5c4ca-7f3b-4c68-a8c6-924faada4659 (Local ID)4da5c4ca-7f3b-4c68-a8c6-924faada4659 (Archive number)4da5c4ca-7f3b-4c68-a8c6-924faada4659 (OAI)
Conference
Human Factors and Ergonomics Society Europe Annual Meeting : 14/10/2015 - 16/10/2015
Note

Upprättat; 2016; 20160227 (phitre)

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved
Aljumaili, M., Karim, R. & Tretten, P. (2016). Metadata-Based Data Quality Assessment (ed.). Vine: The Journal of Information and Knowledge Management Systems, 46(2), 232-250
Open this publication in new window or tab >>Metadata-Based Data Quality Assessment
2016 (English)In: Vine: The Journal of Information and Knowledge Management Systems, ISSN 0305-5728, E-ISSN 1474-1032, Vol. 46, no 2, p. 232-250Article in journal (Refereed) Published
Abstract [en]

High quality data and data quality assessment can support the decision-makingprocess. In the literature, discussions of the assessment process are mainly focused on theoretical approaches to content analysis or on user evaluations. Metadata is important source for quality information in any database system, however, it is not considered for data quality assessment. Metadata contains information that describes the data in a database, including the constraints and the database schema. High quality data can be produced by designing a database system with accurate metadata descriptions. Having accurate and detailed metadata will reduce the errors in data values which can lead to data quality issues. In this study, data quality assessment model is proposed based on both content and metadata analysis. The model is validated by developing an application tool to assess the quality of the data in a database based on the proposed model. The results show that metadata can provide important information about the quality of the database and its adoption can help togive faster, more accurate and user independent assessment of data quality.

Keywords
Information technology - Computer science, Informationsteknik - Datorvetenskap
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-7058 (URN)10.1108/VJIKMS-11-2015-0059 (DOI)000403823400005 ()2-s2.0-85015326022 (Scopus ID)55f53188-d739-46ef-bbc6-2a01ff36f251 (Local ID)55f53188-d739-46ef-bbc6-2a01ff36f251 (Archive number)55f53188-d739-46ef-bbc6-2a01ff36f251 (OAI)
Note

Validerad; 2016; Nivå 1; 20151225 (musalj)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved
Tretten, P. & Karim, R. (2016). Project: iMain ‘Methodologies and tools for the sustainable, predictive maintenance of production equipment’. Paper presented at .
Open this publication in new window or tab >>Project: iMain ‘Methodologies and tools for the sustainable, predictive maintenance of production equipment’
2016 (English)Other (Other (popular science, discussion, etc.))
Abstract [en]

“iMain” is an European level research project aiming to develop a novel decision support system for predictive maintenance. To that end, a multi-layer solution integrating embedded information devices and artificial intelligence techniques for knowledge extraction and novel reliability & maintainability practices will be developed. The resulting solution will provide extended capabilities compared to those achievable with current state-of-the-art maintenance practices, increasing system lifetime of the production equipment at least 30%, energy efficiency at least 20%, maintenance cost at least 40% and availability of whole process at least 30%. As for maximizing project impact, “iMain” project is strongly committed to deployment issues, including innovation and implementation actions focused on value chains and bridging the gap from research to market. To that end, “iMain” emphasizes on the commercialization of results, taking also into account the needs of post-project monitoring of commercialization, which will be conducted after the end of the project in order to assess the achievement of the requested funding and for promoting the project as an effective innovation mechanism. As a step towards the Europe 2020 strategy, “iMain” project will thus make a contribution in terms of R&D investment, employment and resource efficiency, aiming to assist EU manufacturers, particularly SMEs, to adapt to global competitive pressures by increasing the technological base of EU manufacturing through the development and integration of the enabling technologies of the future, specifically engineering technologies for novel predictive maintenance solutions.

National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-36175 (URN)97d49065-ee75-4f29-92d1-96e7463d23f3 (Local ID)97d49065-ee75-4f29-92d1-96e7463d23f3 (Archive number)97d49065-ee75-4f29-92d1-96e7463d23f3 (OAI)
Note

Finansieringskälla: EU research programme (public); Forskningsprogram: Framework Programme 7; Internetadress: http://www.imain-project.eu; Belopp: 3 400 000,00 Svenska kronor; Status: Ended; Period: 07/09/2013 → 09/09/2015

Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2017-11-25Bibliographically approved
Aljumaili, M., Karim, R. & Tretten, P. (2016). Quality of Streaming Data in Condition Monitoring Using ISO 8000 (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. 703-715). Encyclopedia of Global Archaeology/Springer Verlag
Open this publication in new window or tab >>Quality of Streaming Data in Condition Monitoring Using ISO 8000
2016 (English)In: 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, p. 703-715Conference paper, Published paper (Refereed)
Abstract [en]

The purpose of this paper is to propose a Data Quality Measurement Model based on ISO 8000 standard. This paper deals about the concepts implied in the measurement process, not about the measures themselves. Poor quality information causes customer dissatisfaction, lost revenue and higher costs associated with additional time to reconcile information. An understanding of the characteristics of the data that determine its quality, and an ability to measure, manage and report on data quality is required. Measurement is a major activity in data quality management. In literature, there are many proposals contributing somehow to the measurement of data quality. However, these measurement methods lack the unification. ISO 8000 provides a framework for improving data quality that can be used independently or in conjunction with quality management systems. ISO 8000 defines characteristics that can be tested by any organization in the data supply chain to objectively determine conformance of the data to ISO 8000.

Place, publisher, year, edition, pages
Encyclopedia of Global Archaeology/Springer Verlag, 2016
Series
Lecture Notes in Mechanical Engineering, ISSN 2195-4356
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-37429 (URN)10.1007/978-3-319-23597-4_52 (DOI)2-s2.0-85043790451 (Scopus ID)b740f950-5a5a-4d35-8beb-8b1050707bb5 (Local ID)978-3-319-23596-7 (ISBN)978-3-319-23597-4 (ISBN)b740f950-5a5a-4d35-8beb-8b1050707bb5 (Archive number)b740f950-5a5a-4d35-8beb-8b1050707bb5 (OAI)
Conference
International Conference ICRESH-ARMS 2015 : 01/06/2015 - 04/06/2015
Note

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. ; 20151223 (andbra)

Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-03-23Bibliographically approved
Tretten, P. & Aronsson, I. (2016). The development of an aircraft maintenance technician headset (ed.). In: (Ed.), : . Paper presented at Human Factors and Ergonomics Society Europe Annual Meeting : 14/10/2015 - 16/10/2015.
Open this publication in new window or tab >>The development of an aircraft maintenance technician headset
2016 (English)Conference paper, Poster (with or without abstract) (Refereed)
Abstract [en]

Aircraft maintenance technicians work in a situation where the implementation and use of new technology is uncommon. This is so to reduce the risk for errors considered to be a result of design errors, of the system or tools used. Earlier studies have shown that more advanced equipment, such as, tablets, Personal Digital Assistants, etc. can be used to help reduce the number of manuals, amounts of paperwork, track actions better, and reduce the number of steps in the work process. To take this process a step further was the ISO 9241:210 standard followed, 10 technicians were interviewed, 6 separate observations were conducted, and the technicians were consulted in development of a design requirements for a headset to see in what way a aircraft maintenance technician daily maintenance operations can be improved. The resulted requirements were, a headset should be placed around the head over the forehead for a steady fit during the varied working positions of the aircraft technicians, it is to be made of lightweight and smooth fabric, which features elasticity and comfort for the skin, adaptability for different headsizes, the construction is made all in one piece to be simple yet robust to handle, the headset is to be placed/fit firmly onto the head during a working day, providing ability to access data and information effortlessly through the device which operates with augmented reality technology, an interactive way of handling data and information, information is to be visualized, and the information needed in the daily work is to be gathered and easily accessed in one place, which includes the channels for communication.

Keywords
Information technology - Other information technology, Human Factors, Aircraft technician, Maintenance system, aircraft, Informationsteknik - Övrig informationsteknik
National Category
Other Civil Engineering
Research subject
Operation and Maintenance
Identifiers
urn:nbn:se:ltu:diva-40468 (URN)f9eae637-73e1-4f70-86c0-d90131750bba (Local ID)f9eae637-73e1-4f70-86c0-d90131750bba (Archive number)f9eae637-73e1-4f70-86c0-d90131750bba (OAI)
Conference
Human Factors and Ergonomics Society Europe Annual Meeting : 14/10/2015 - 16/10/2015
Projects
Human Factors LAB
Available from: 2016-10-03 Created: 2016-10-03 Last updated: 2018-01-12Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-3827-0295

Search in DiVA

Show all publications