Tools for predictive maintenance of diesel engines: a systematic bibliographic review
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/10195 |
Resumo: | The fleet maintenance sector represents a large part of the costs in agro-industrial properties and all the innovation and technology used to reduce these costs directly impacts the final price of the product. Given this context, the objective of this article is to identify how the state of knowledge about predictive maintenance tools for diesel engines is configured. To meet the objective, a systematic bibliographic review was used, consisting of three phases: Input, Processing and Output. It was possible to identify an advance in scientific production related to predictive maintenance tools, which reinforces its importance. When analyzing the documents in full, it was possible to categorize the documents by applicability, being: Industrial; Diesel Engines; 2T Diesel Engines; Diesel Engines for Agricultural Tractors; Engines and Mechanical equipment; Bus and Passenger Transport; Mining and Maritime. It was also possible to conclude that the sectors that research and develop the most predictive maintenance tools for engines are industrial and marine. Of the 41 documents analyzed in this research, eight are book chapters, which demonstrates that the analysis of such a documentary format is relevant to the theme addressed here. Likewise, research on predictive maintenance has been gaining importance in recent years, which leads us to believe that it must also move towards the agricultural sector. |
id |
UNIFEI_783e75a2abb353bc9c9ef733cb85c928 |
---|---|
oai_identifier_str |
oai:ojs.pkp.sfu.ca:article/10195 |
network_acronym_str |
UNIFEI |
network_name_str |
Research, Society and Development |
repository_id_str |
|
spelling |
Tools for predictive maintenance of diesel engines: a systematic bibliographic review Herramientas para el mantenimiento predictivo de motores diesel: una revisión bibliográfica sistemáticaFerramentas de manutenção preditiva de motores diesel: uma revisão bibliográfica sistemática Manutenção PreditivaMotores dieselRevisão bibliográfica sistemática.Mantenimiento predictivoMotores dieselRevisión sistemática de la literatura.Predictive MaintenanceDiesel enginesSystematic literature review.The fleet maintenance sector represents a large part of the costs in agro-industrial properties and all the innovation and technology used to reduce these costs directly impacts the final price of the product. Given this context, the objective of this article is to identify how the state of knowledge about predictive maintenance tools for diesel engines is configured. To meet the objective, a systematic bibliographic review was used, consisting of three phases: Input, Processing and Output. It was possible to identify an advance in scientific production related to predictive maintenance tools, which reinforces its importance. When analyzing the documents in full, it was possible to categorize the documents by applicability, being: Industrial; Diesel Engines; 2T Diesel Engines; Diesel Engines for Agricultural Tractors; Engines and Mechanical equipment; Bus and Passenger Transport; Mining and Maritime. It was also possible to conclude that the sectors that research and develop the most predictive maintenance tools for engines are industrial and marine. Of the 41 documents analyzed in this research, eight are book chapters, which demonstrates that the analysis of such a documentary format is relevant to the theme addressed here. Likewise, research on predictive maintenance has been gaining importance in recent years, which leads us to believe that it must also move towards the agricultural sector.El sector de mantenimiento de flotas representa una gran parte de los costos en propiedades agroindustriales y toda la innovación y tecnología utilizada para reducir estos costos impacta directamente en el precio final del producto. Ante este contexto, el objetivo de este artículo es identificar cómo se configura el estado de conocimiento sobre herramientas de mantenimiento predictivo para motores diésel. Para cumplir con el objetivo se utilizó una revisión bibliográfica sistemática, que consta de tres fases: Entrada, Procesamiento y Salida, se logró identificar un avance en la producción científica relacionada con las herramientas de mantenimiento predictivo, lo que refuerza su importancia. Al analizar los documentos en su totalidad, fue posible categorizar los documentos por aplicabilidad, siendo: Industrial; Motores diesel; Motores diésel 2T; Motores diésel para tractores agrícolas; Motores y equipos mecánicos; Transporte de pasajeros y autobuses; Minero y Marítimo. También se pudo concluir que los sectores que investigan y desarrollan las herramientas de mantenimiento más predictivas para motores son el industrial y el marino. De los 41 documentos analizados en esta investigación, ocho son capítulos de libros, lo que demuestra que el análisis de dicho formato documental es relevante para la temática aquí abordada. Asimismo, la investigación sobre el mantenimiento predictivo ha ido ganando importancia en los últimos años, lo que nos lleva a pensar que también debe avanzar hacia el sector agrícola.O setor de manutenção de frota representa grande parte dos custos nas propriedades agroindustriais e toda a inovação e tecnologia empregada na redução destes custos impacta diretamente no preço final do produto. Diante desse contexto, o objetivo desse artigo é identificar como está configurado o estado do conhecimento sobre as ferramentas de manutenção preditiva para motores diesel. Para atender o objetivo, foi utilizada uma revisão bibliográfica sistemática, composta por três fases: Entrada, Processamento e Saída. Foi possível identificar um avanço nas produções científicas relacionadas as ferramentas de manutenção preditiva, o que reforça a sua importância. Ao analisar os documentos na íntegra, foi possível categorizar os documentos por aplicabilidade, sendo: Industrial; Motores Diesel; Motores Diesel 2T; Motores Diesel de Tratores Agrícolas; Motores e equipamentos Mecânicos; Ônibus e Transporte de Passageiros; Mineração e Marítima. Pôde-se, ainda, concluir que os setores que mais pesquisam e desenvolvem ferramentas de manutenção preditiva para motores são o industrial e o marítimo. Dos 41 documentos analisados nesta pesquisa, oito são capítulos de livros, o que demonstra que a análise de tal formato documental é relevante à temática aqui abordada. Da mesma forma, pesquisas sobre a manutenção preditiva vem ganhando importância nos últimos anos, o que nos leva a acreditar que também deve caminhar em direção ao setor agrícola.Research, Society and Development2020-11-27info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/1019510.33448/rsd-v9i11.10195Research, Society and Development; Vol. 9 No. 11; e57691110195Research, Society and Development; Vol. 9 Núm. 11; e57691110195Research, Society and Development; v. 9 n. 11; e576911101952525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/10195/9123Copyright (c) 2020 Evelim Larissa Rombi De Aquino ; Mario Mollo Neto; Cristiane Hengler Corrêa Bernardo; Flávio José de Oliveira Morais; Paulo Sérgio Barbosa dos Santoshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessAquino , Evelim Larissa Rombi De Mollo Neto, Mario Bernardo, Cristiane Hengler Corrêa Morais, Flávio José de Oliveira Santos, Paulo Sérgio Barbosa dos 2020-12-10T23:37:57Zoai:ojs.pkp.sfu.ca:article/10195Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:32:18.668597Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Tools for predictive maintenance of diesel engines: a systematic bibliographic review Herramientas para el mantenimiento predictivo de motores diesel: una revisión bibliográfica sistemática Ferramentas de manutenção preditiva de motores diesel: uma revisão bibliográfica sistemática |
title |
Tools for predictive maintenance of diesel engines: a systematic bibliographic review |
spellingShingle |
Tools for predictive maintenance of diesel engines: a systematic bibliographic review Aquino , Evelim Larissa Rombi De Manutenção Preditiva Motores diesel Revisão bibliográfica sistemática. Mantenimiento predictivo Motores diesel Revisión sistemática de la literatura. Predictive Maintenance Diesel engines Systematic literature review. |
title_short |
Tools for predictive maintenance of diesel engines: a systematic bibliographic review |
title_full |
Tools for predictive maintenance of diesel engines: a systematic bibliographic review |
title_fullStr |
Tools for predictive maintenance of diesel engines: a systematic bibliographic review |
title_full_unstemmed |
Tools for predictive maintenance of diesel engines: a systematic bibliographic review |
title_sort |
Tools for predictive maintenance of diesel engines: a systematic bibliographic review |
author |
Aquino , Evelim Larissa Rombi De |
author_facet |
Aquino , Evelim Larissa Rombi De Mollo Neto, Mario Bernardo, Cristiane Hengler Corrêa Morais, Flávio José de Oliveira Santos, Paulo Sérgio Barbosa dos |
author_role |
author |
author2 |
Mollo Neto, Mario Bernardo, Cristiane Hengler Corrêa Morais, Flávio José de Oliveira Santos, Paulo Sérgio Barbosa dos |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Aquino , Evelim Larissa Rombi De Mollo Neto, Mario Bernardo, Cristiane Hengler Corrêa Morais, Flávio José de Oliveira Santos, Paulo Sérgio Barbosa dos |
dc.subject.por.fl_str_mv |
Manutenção Preditiva Motores diesel Revisão bibliográfica sistemática. Mantenimiento predictivo Motores diesel Revisión sistemática de la literatura. Predictive Maintenance Diesel engines Systematic literature review. |
topic |
Manutenção Preditiva Motores diesel Revisão bibliográfica sistemática. Mantenimiento predictivo Motores diesel Revisión sistemática de la literatura. Predictive Maintenance Diesel engines Systematic literature review. |
description |
The fleet maintenance sector represents a large part of the costs in agro-industrial properties and all the innovation and technology used to reduce these costs directly impacts the final price of the product. Given this context, the objective of this article is to identify how the state of knowledge about predictive maintenance tools for diesel engines is configured. To meet the objective, a systematic bibliographic review was used, consisting of three phases: Input, Processing and Output. It was possible to identify an advance in scientific production related to predictive maintenance tools, which reinforces its importance. When analyzing the documents in full, it was possible to categorize the documents by applicability, being: Industrial; Diesel Engines; 2T Diesel Engines; Diesel Engines for Agricultural Tractors; Engines and Mechanical equipment; Bus and Passenger Transport; Mining and Maritime. It was also possible to conclude that the sectors that research and develop the most predictive maintenance tools for engines are industrial and marine. Of the 41 documents analyzed in this research, eight are book chapters, which demonstrates that the analysis of such a documentary format is relevant to the theme addressed here. Likewise, research on predictive maintenance has been gaining importance in recent years, which leads us to believe that it must also move towards the agricultural sector. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-27 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/10195 10.33448/rsd-v9i11.10195 |
url |
https://rsdjournal.org/index.php/rsd/article/view/10195 |
identifier_str_mv |
10.33448/rsd-v9i11.10195 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/10195/9123 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 9 No. 11; e57691110195 Research, Society and Development; Vol. 9 Núm. 11; e57691110195 Research, Society and Development; v. 9 n. 11; e57691110195 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
_version_ |
1797052664364662784 |