1. |
- Illankoon, Prasanna, 1977-, et al.
(författare)
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Decision Support System for Flight Maintenance Technicians : Issues and Challenges
- 2019
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Ingår i: Proceedings of the 5th international workshop and congress on eMaintenace. - Luleå, Sweden : Luleå University of Technology. ; , s. 88-94
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Konferensbidrag (refereegranskat)abstract
- In this article, we summarize the key insights into the fast-rising areas in decision support and integration of flight maintenance information. The study elaborates the need and challenges of decision support for flight maintenance technicians. The major focus is on the decision support that allows maintenance technicians as end users to interact and get a better understanding of the systems (flights) they are dealing with.
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2. |
- Illankoon, Prasanna, 1977-, et al.
(författare)
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Lockout and Tagout in a Manufacturing Setting from a Situation Awareness Perspective
- 2019
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Ingår i: Safety. - Basel : MDPI. - 2313-576X. ; 5:2
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Tidskriftsartikel (refereegranskat)abstract
- Applying lockouts during maintenance is intended to avoid accidental energy release, whereas tagging them out keeps employees aware of what is going on with the machine. In spite of regulations, serious accidents continue to occur due to lapses during lockout and tagout (LOTO) applications. Few studies have examined LOTO effectiveness from a user perspective. This article studies LOTO processes at a manufacturing organization from a situation awareness (SA) perspective. Technicians and machine operators were interviewed, a focus group discussion was conducted, and operators were observed. Qualitative content analysis revealed perceptual, comprehension and projection challenges associated with different phases of LOTO applications. The findings can help lockout/tagout device manufacturers and organizations that apply LOTO to achieve maximum protection.
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3. |
- Kour, Ravdeep, 1981-, et al.
(författare)
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Big Data Analytics for Maintaining Transportation Systems
- 2019
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Ingår i: Transportation Systems. - Singapore : Springer. ; , s. 73-91
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Big Data Analytics (BDA) is becoming a research focus in transportation systems, which can be seen from many projects within the world. By using sensor and Internet of Things (IoT) technology in transportation system, huge amount of data is been generated from different sources. This data can be integrated, analyzed and visualized for efficient and effective decision-making for maintaining transportation systems. The key challenges that exist in managing Big Data are the designing of the systems, which would be able to handle huge amount of data efficiently and effectively and to filter the most significant information from all the collected data. This chapter will draw attention towards the present scenario and future projections of big data in transportation systems. It also presents big data tools and techniques and then presents one brief case study of BDA in each type of transportation system. In this chapter, a broad overview of Big Data definitions, its history, present, and future prospects are briefed. Several tools and technologies especially for transportation are pointed out for maintaining transportation systems. At the end of the chapter, a definitive case studies on each transportation area is demonstrated.
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4. |
- Kour, Ravdeep, 1981-, et al.
(författare)
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Cybersecurity Workforce in Railway : A Case Study
- 2019
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Ingår i: Proceedings of the 5<sup>th</sup> International Workshop and Congress on eMaintenance. - : Luleå University of Technology. ; , s. 28-32
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Konferensbidrag (refereegranskat)abstract
- Railway will continue to adapt new digital solutions which are necessary and vulnerable to cyber threats. The history of cyber-attacks on critical infrastructures including railway suggests that there is a need for cybersecurity awareness. Both for employees and the general public. The very first step in cyber hygiene is cybersecurity training and awareness for the workforce. A well-educated workforce plays a vital role in building more cyber resiliency across the organization's operation and maintenance. The objective of this research is to evaluate the cybersecurity maturity level for workforce management in three railway organizations. The results show that there is a cybersecurity workforce gap and there is a need to eliminate this gap by enhancing cybersecurity workforce culture. Henceforth, this gap can be improved by developing cybersecurity culture, including cybersecurity training and awareness and by following recommendations provided in this paper.
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5. |
- Kyriakidis, Miltos, et al.
(författare)
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The indirect costs assessment of railway incidents and their relationship to human error : The case of Signals Passed at Danger
- 2019
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Ingår i: Journal of Rail Transport Planning & Management. - : Elsevier. - 2210-9706 .- 2210-9714. ; 9, s. 34-45
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Tidskriftsartikel (refereegranskat)abstract
- The majority of railway incidents result neither in passenger nor operators harm, nor they lead to any severe damage on the rolling stock or the infrastructure. Nevertheless, such incidents result in financial loses, broadly known as indirect costs, which are difficult to identify, isolate, evaluate, and quantify. This paper introduces a framework to quantify the indirect costs in railway operations. Furthermore, as degraded human performance remains a major contributor to operational errors and railway incidents, this study explores for associations between the indirect costs and the factors that affect and contribute to degraded human performance. The framework was implemented in the calculation of the Category A1 Signals Passed at Danger (SPADs) indirect costs. Data was obtained from two UK train operators, while the associated human performance was analysed using the Railway-Performance Shaping Factors (R-PSFs) taxonomy. Employing Spearman's rank order correlation and Fisher's exact statistical tests the associations between R-PSFs and indirect costs were reviewed. Results show significant correlations between the R-PSFs and indirect costs, but only if the importance and severity of every individual R-PSFs is considered. We expect our findings to aid the relevant stakeholders on their efforts to make better decisions on improving safety performance of railway operations.
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6. |
- Martinetti, Alberto, et al.
(författare)
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Reflections on the Limited Pervasiveness of Augmented Reality in Industrial Sectors
- 2019
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Ingår i: Applied Sciences. - : MDPI. - 2076-3417. ; 9:16
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Tidskriftsartikel (refereegranskat)abstract
- The paper aims to investigate the reasons why Augmented Reality (AR) has not fully broken the industrial market yet, or found a wider application in industries. The main research question the paper tries to answer is: what are the factors (and to what extent) that are limiting AR? Firstly, a reflection on the state of art of AR applications in industries is proposed, to discover the sectors more commonly chosen for deploying the technology so far. Later, based on a survey conducted after that, three AR applications have been tested on manufacturing, automotive, and railway sectors, and the paper pinpoints key aspects that are conditioning its embedding in the daily working life. In order to compare whether the perception of employees from railway, automotive, and manufacturing sectors differs significantly, a one-way analysis of variance (ANOVA) has been used. Later, suggestions are formulated in order to improve these aspects in the industry world. Finally, the paper indicates the main conclusions, highlighting possible future researches to start.
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7. |
- Stenström, Christer, et al.
(författare)
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Risk- and Condition-Based Maintenance
- 2019. - 1
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Ingår i: Transportation Systems. - Singapore : Springer. - 9789813293229 - 9789813293236 ; , s. 55-72
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Condition-based maintenance (CBM) strategies have increased in recognition over the last decades, and continues to do so with an internationalized market and cheaper sensor technology. CBM is in many cases the most effective approach to maintenance, considering risk, resource use, sustainability, safety and cost. Thus, CBM is often feasible both from a life-cycle cost (LCC) perspective and a life cycle analysis (LCA) perspective. In this chapter, we will study risk-based and condition-based maintenance from a maintenance and reliability perspective. After a brief background, we will discuss the necessary conditions for CBM to be a feasible strategy for optimized usage of equipment. On the operational level, CBM can be on schedule, on request or on a continuous monitoring basis. Thus, the technologies used for CBM can broadly be divided into continuous monitoring, which often is simply called condition monitoring, and into non-destructive testing (NDT), for periodic inspections. Therefore, two sections are dedicated to condition monitoring and NDT. Additional techniques for CBM and risk assessment will be discussed in the section thereafter. Lastly, we will look briefly into the continuously growing topic of prognostics.
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