Trends in failure studies of generation engines based on statistical models from 2007 to 2017
The diagnosis of failures in Internal Combustion Engines (ICM)-generation engines, has been considering one of the principal thematic axes of academic and industrial Research, Development and Innovation (R&D&I) based on the analysis of the specialized engineering literature within the Distri...
- Autores:
-
Cardenas Escorcia, Yulineth del Carmen
Valencia Ochoa, Guillermo Eliecer
Cabello Eras, Juan José
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/1432
- Acceso en línea:
- http://hdl.handle.net/11323/1432
https://repositorio.cuc.edu.co/
- Palabra clave:
- Internal
Combustion
Engines
Scientometrics
Bibliometric
Analysis
Web of Science
H-index
- Rights
- openAccess
- License
- Atribución – No comercial – Compartir igual
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Trends in failure studies of generation engines based on statistical models from 2007 to 2017 |
| title |
Trends in failure studies of generation engines based on statistical models from 2007 to 2017 |
| spellingShingle |
Trends in failure studies of generation engines based on statistical models from 2007 to 2017 Internal Combustion Engines Scientometrics Bibliometric Analysis Web of Science H-index |
| title_short |
Trends in failure studies of generation engines based on statistical models from 2007 to 2017 |
| title_full |
Trends in failure studies of generation engines based on statistical models from 2007 to 2017 |
| title_fullStr |
Trends in failure studies of generation engines based on statistical models from 2007 to 2017 |
| title_full_unstemmed |
Trends in failure studies of generation engines based on statistical models from 2007 to 2017 |
| title_sort |
Trends in failure studies of generation engines based on statistical models from 2007 to 2017 |
| dc.creator.fl_str_mv |
Cardenas Escorcia, Yulineth del Carmen Valencia Ochoa, Guillermo Eliecer Cabello Eras, Juan José |
| dc.contributor.author.spa.fl_str_mv |
Cardenas Escorcia, Yulineth del Carmen Valencia Ochoa, Guillermo Eliecer Cabello Eras, Juan José |
| dc.subject.eng.fl_str_mv |
Internal Combustion Engines Scientometrics Bibliometric Analysis Web of Science H-index |
| topic |
Internal Combustion Engines Scientometrics Bibliometric Analysis Web of Science H-index |
| description |
The diagnosis of failures in Internal Combustion Engines (ICM)-generation engines, has been considering one of the principal thematic axes of academic and industrial Research, Development and Innovation (R&D&I) based on the analysis of the specialized engineering literature within the Distributed Generation (DG) paradigm. With the aim of presenting the characteristics of the work related to failures in ICM and recognizing the global research focuses, a scientometric methodological approach of a systematic review of the publications indexed in Web of Science (WoS) has been carrying out from the perspective of bibliometric analysis for the period from 2007 to 2017. The H-index has been incorporating into this analysis to assess the visibility and impact of journals, authors, countries, and institutions with the highest levels of production and recognition in the field under study. The systematic review also made it possible to analyze the interaction between knowledge groups and networks with the authors and institutions identified in the ranking. The results show a significant increase in the number of publications, especially between 2012 and 2016, which allow the main dimensions of R&D&I related to the study of failures in ICM to be characterized and illustrated at a holistic level and provide added value to researchers interested in establishing cooperation and publication processes with journals, authors, institutions and potential actors in the study of ICM failures. |
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2018 |
| dc.date.accessioned.none.fl_str_mv |
2018-11-20T15:51:48Z |
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2018-11-20T15:51:48Z |
| dc.date.issued.none.fl_str_mv |
2018-08-02 |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/resource_type/c_6501 |
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Text |
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info:eu-repo/semantics/article |
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info:eu-repo/semantics/acceptedVersion |
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http://purl.org/coar/resource_type/c_6501 |
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acceptedVersion |
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17919320 |
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http://hdl.handle.net/11323/1432 |
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Corporación Universidad de la Costa |
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REDICUC - Repositorio CUC |
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https://repositorio.cuc.edu.co/ |
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eng |
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eng |
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Atribución – No comercial – Compartir igual |
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info:eu-repo/semantics/openAccess |
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http://purl.org/coar/access_right/c_abf2 |
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Atribución – No comercial – Compartir igual http://purl.org/coar/access_right/c_abf2 |
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openAccess |
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Eastern Macedonia and Thrace Institute of Technology |
| institution |
Corporación Universidad de la Costa |
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Cardenas Escorcia, Yulineth del CarmenValencia Ochoa, Guillermo EliecerCabello Eras, Juan José2018-11-20T15:51:48Z2018-11-20T15:51:48Z2018-08-0217919320http://hdl.handle.net/11323/1432Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The diagnosis of failures in Internal Combustion Engines (ICM)-generation engines, has been considering one of the principal thematic axes of academic and industrial Research, Development and Innovation (R&D&I) based on the analysis of the specialized engineering literature within the Distributed Generation (DG) paradigm. With the aim of presenting the characteristics of the work related to failures in ICM and recognizing the global research focuses, a scientometric methodological approach of a systematic review of the publications indexed in Web of Science (WoS) has been carrying out from the perspective of bibliometric analysis for the period from 2007 to 2017. The H-index has been incorporating into this analysis to assess the visibility and impact of journals, authors, countries, and institutions with the highest levels of production and recognition in the field under study. The systematic review also made it possible to analyze the interaction between knowledge groups and networks with the authors and institutions identified in the ranking. The results show a significant increase in the number of publications, especially between 2012 and 2016, which allow the main dimensions of R&D&I related to the study of failures in ICM to be characterized and illustrated at a holistic level and provide added value to researchers interested in establishing cooperation and publication processes with journals, authors, institutions and potential actors in the study of ICM failures.Cardenas Escorcia, Yulineth del Carmen-0000-0002-9841-701X-600Valencia Ochoa, Guillermo Eliecer-badc27cf-8d52-48c7-8cc8-5ffbe0292696-0Cabello Eras, Juan José-9006059e-44e9-468c-a1f7-0f6208ec265a-0engEastern Macedonia and Thrace Institute of TechnologyAtribución – No comercial – Compartir igualinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2InternalCombustionEnginesScientometricsBibliometricAnalysisWeb of ScienceH-indexTrends in failure studies of generation engines based on statistical models from 2007 to 2017Artículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/acceptedVersionPublicationORIGINALTrends in failure studies of generation engines based on statistical models from 2007 to 2017.pdfTrends in failure studies of generation engines based on statistical models from 2007 to 2017.pdfapplication/pdf145034https://repositorio.cuc.edu.co/bitstreams/4180e40d-037d-4bec-982a-e7826f6d7e96/download582fd77fed0f5a9626890612feb6000aMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorio.cuc.edu.co/bitstreams/374b2b9e-0b6e-430d-9b63-617afaaabeda/download8a4605be74aa9ea9d79846c1fba20a33MD52THUMBNAILTrends in failure studies of generation engines based on statistical models from 2007 to 2017.pdf.jpgTrends in failure studies of generation engines based on statistical models from 2007 to 2017.pdf.jpgimage/jpeg52052https://repositorio.cuc.edu.co/bitstreams/77ea4272-6d9b-4d08-8b89-0a8b6dd7be4d/download5811ac23143a3cab15200a78522bf64cMD54TEXTTrends in failure studies of generation engines based on statistical models from 2007 to 2017.pdf.txtTrends in failure studies of generation engines based on statistical models from 2007 to 2017.pdf.txttext/plain1817https://repositorio.cuc.edu.co/bitstreams/1202797b-ff80-4206-a89f-6b894985f187/download096158e710eb01b11ddb0256ae0b51b4MD5511323/1432oai:repositorio.cuc.edu.co:11323/14322024-09-16 16:47:41.586open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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 |