1,720,999 research outputs found
The Concept of Functional-Productiveness for Modelling Reliability in EnergyBased Maintenance Domain
Full text linkThe Question About the Question: Is There Any Relationship Between Formulating an Explicit Research(able) Question and Citation Impact in Engineering-Based Systematic Literature Reviews?
Full text linkSystematic Literature Reviews (SLRs) have become essential apparatus for critical appraisal of evidence outside of the medical and healthcare profession. However, although SLRs often require a clearly stated Research Question (RQ), followed by a rigorous protocol for assuring transparency and replicability of findings, misuse has been reported. Using a sample of 400 SCOPUS-indexed engineering-based SLRs (Systematic Literature Reviews), this study investigates the citation impact of formulating an explicit RQ using both parametric and non-parametric statistical tests (p < 0.05). The results suggest a significant positive association with studies proposing a clearly stated RQ (p < 0.01), particularly within top-ranked engineering-based SLRs, suggesting that RQs enhance the clarity and focus of the research, thereby increasing visibility and citation count. Despite the findings, the evidence suggests small effect sizes (φ = 0.138) in terms of the association between RQ and class category and small effect sizes (r = 0.238) in terms of impact difference in citation count, which is no surprise given that extensive number of factors influence the prediction of citation impact.14. Quality education
Enhancing sustainability in tyre manufacturing with machine learning and knowledge graphs: An energy-based maintenance solution
Full text linkpeer reviewedThe manufacturing industry is facing increasing pressure to adopt sustainable strategies. Many focus on improving existing maintenance practices, prioritising energy efficiency and operational sustainability. However, conventional maintenance often relies on energy waste indicators (e.g., vibration, sound), neglecting the potential offered by primary energy sources (e.g., hydraulic, electrical). The study addresses this gap by introducing an Energy-Based Maintenance (EBM) solution that leverages Machine Learning (ML) and Deep Learning (DL) algorithms to monitor primary energy signals, enabling a more sustainable fault prediction. The selection of ML/DL algorithms is identified through a meta-analysis and Recursive Feature Elimination (RFE) performs feature selection. EBM applicability is demonstrated in a rubber mixing machine's tyre manufacturing process. Additionally, to address the challenges of understanding latent failure mechanisms, an Exploratory Network Analysis using the Gaussian Graphical Model (GGM) was introduced, offering novel insights into fault patterns. The results show that EBM can reduce energy consumption by 3.05 %–7.75 % compared to the existing maintenance practice, suggesting significant energy-efficient advancements. By operationalising primary energy source as a predictive variable, in combination with knowledge graphs, the work contributes to the advancement of sustainable prescriptive maintenance practices.7. Affordable and clean energy12. Responsible consumption and production9. Industry, innovation and infrastructur
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Assessment of entrepreneurial competences of Industrial Engineering Students: Post-COVID19 results
No full textThe file contained are results of the research on the Entrepreneurial Competences of Industrial Engineering students at the University of Novi Sad. The research is conducted in the course of Reliability of Technical Systems and Maintenance. The students are enrolled in the 3rd graduate year at the module Industrial Engineering. The study is conducted during the winter semester of 2021-2022. The study explores entrepreneurial competences by using the EntreComp Reference Framework as a research instrument. The dataset contains students' responses, Fold change, Wilcoxon rank test and PLS-DA statistical test analysis. In addition, all three analysis included contain graphs and plots included, VIP plot and analysis and associated results. The writting of the study is performed during April of 2022
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Influence of Maintenance Practice on MTBF of Industrial and Mobile Hydraulic Failures: A West Balkan Study
Full text linkpeer reviewedThe article investigates the influence of maintenance practice on the MTBF (Mean-Time-Between-Failures) of hydraulic system failures. Firstly, the paper starts by challenging the argument that contamination is at least 70% responsible for hydraulic system failures. Secondly, independent maintenance variables that potentially influence MTBF are synthesised and investigated via Person’s correlation factor. Although some predictors (variables) show good prediction properties, however, show discrepancy while being subjected to different maintenance policies. Eight selected predictors were subjected to Stepwise Multiple Regression (SMR) for selecting the most appropriate solution. Finally, four main predictors (p < 0.05) are selected: Machine Age (MA), Filter Replacement Time (FRT), Failure Analysis Personnel (FAP) and Maintenance Policy (MP) applied. The results show that the suggested model shows good prediction properties (R2 = 83.51) in estimating the MTBF of hydraulic machines. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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