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Analysis of institutional authors

Segovia Ramirez, IsaacAuthor

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January 8, 2025
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Reliability Dynamic Analysis by Fault Trees and Binary Decision Diagrams

Publicated to: Information (Switzerland). 11 (6): 324- - 2020-06-01 11(6), DOI: 10.3390/info11060324

Authors:

Garcia Marquez, Fausto Pedro; Segovia Ramirez, Isaac; Mohammadi-Ivatloo, Behnam; Pliego Marugan, Alberto
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Affiliations

ESIC, Business & Mkt Sch, Madrid 28043, Spain - Author
Univ Castilla La Mancha, Ingenium Res Grp, Ciudad Real 13071, Spain - Author
Univ Tabriz, Fac Elect & Comp Engn, Tabriz 5166616471, Iran - Author
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Abstract

New wind turbines are becoming more complex and reliability analysis of them rising in complexity. The systems are composed of many components. Fault tree is used as an useful tool to analyze these interrelations and provide a scheme of the wind turbine, to get a quick overview of the behavior of the system under certain conditions of the components. However, it is complicated and in some cases not possible, to identify the conditions that would generate a wind turbine failure. A quantitative and qualitative reliability analysis of the wind turbine is proposed in this study. Binary decision diagrams are employed as a suitable and operational method to facilitate this analysis and to get an analytical expression by the Boolean functions. The size of the binary decision diagram, i.e., the computational cost for solving the problem, has an important dependence on the order of the components or events considered. Different heuristic ranking methods are used to find an optimal order or one closed, and to validate the results: AND, level, top-down-left-right, deep-first search and breadth-first-search. Birnbaum and criticality importance measures are proposed to evaluate the relevance of each component. This analysis leads to classify the events according to their importance with respect to the probability of the top event. This analysis provides the basis for making medium and long-term maintenance strategies.
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Keywords

AlgorithmsBinary decision diagramsComponentsDiagnosisDynamic analysiDynamic analysisEvenFault treeIce detectionMaintenance managementManagementWindWind energyWind turbines

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Information (Switzerland), Q3 Agency Scopus (SJR), its regional focus and specialization in Information Systems, give it significant recognition in a specific niche of scientific knowledge at an international level.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations from Scopus Elsevier, it yields a value for the Field-Weighted Citation Impact from the Scopus agency: 2.23, which indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-05, the following number of citations:

  • WoS: 34
  • Scopus: 54
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-05:

  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 33 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: Iran.

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Awards linked to the item

The work reported herewith was financially by the Direccion General de Universidades, Investigacion e Innovacion of Castilla-La Mancha, under Research Grant ProSeaWind project (Ref.: SBPLY/19/180501/000102) and the Spanish Ministerio de Economia y Competitividad, under Re-search Grants DPI2015-67264-P.
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