Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Edgar Estupinan"'
Autor:
Ruben Medina, Mariela Cerrada, Shuai Yang, Diego Cabrera, Edgar Estupiñan, René-Vinicio Sánchez
Publikováno v:
Mathematics, Vol 10, Iss 17, p 3033 (2022)
This paper describes a comparison of three types of feature sets. The feature sets were intended to classify 13 faults in a centrifugal pump (CP) and 17 valve faults in a reciprocating compressor (RC). The first set comprised 14 non-linear entropy-ba
Externí odkaz:
https://doaj.org/article/937ad4e8398e4900bf939d534104a800
Autor:
Claudia Moraga-Contreras, Lorena Cornejo-Ponce, Patricia Vilca-Salinas, Edgar Estupiñan, Alejandro Zuñiga, Rodrigo Palma-Behnke, Héctor Tapia-Caroca
Publikováno v:
Energies, Vol 15, Iss 2, p 551 (2022)
Chile has set itself to achieve Greenhouse Gas emission neutrality, with at least 70% of electricity coming from renewable energy sources by 2050. To this end, institutional and regulatory frameworks have been improved, resulting in significant progr
Externí odkaz:
https://doaj.org/article/d4fa86486f704ad8916d0e40696f9334
Publikováno v:
Revista Facultad de Ingeniería, Vol 26, Iss 44, Pp 61-71 (2017)
The pyrometallurgical copper extraction process generates 2.2 t of residues for each ton of produced metal. Initially, this paper shows the physical and chemical characterization of a copper processing residue, followed by the procedure to obtain the
Externí odkaz:
https://doaj.org/article/48e25397a3f24e8ebef9eba5ca5d557a
Autor:
Diego Cabrera, Mauricio Villacis, Mariela Cerrada, Rene-Vinicio Sanchez, Chuan Li, Fernando Sancho, Jianyu Long, Edgar Estupinan
Publikováno v:
IEEE/ASME Transactions on Mechatronics. :1-9
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a4fa964eb1c5e7a6ad91f09f2992a7f
https://doi.org/10.1109/tmech.2022.3226347
https://doi.org/10.1109/tmech.2022.3226347
Publikováno v:
Neurocomputing. 407:121-135
With the popularization of the intelligent manufacturing, much attention has been paid in such intelligent computing methods as deep learning ones for machinery fault diagnosis. Thanks to the development of deep learning models, the interference of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d1dcdd538cd4b42165143dff8c4d0c53
https://doi.org/10.1016/j.neucom.2020.04.045
https://doi.org/10.1016/j.neucom.2020.04.045
Autor:
Mariela Cerrada, Edgar Estupinan, René-Vinicio Sánchez, Rubén Medina, Jean-Carlo Macancela, Diego Cabrera
Publikováno v:
Applied Sciences
Volume 10
Issue 7
Applied Sciences, Vol 10, Iss 2512, p 2512 (2020)
Volume 10
Issue 7
Applied Sciences, Vol 10, Iss 2512, p 2512 (2020)
Prognostics and Health Management technologies are useful for early fault detection and optimization of reliability in mechanical systems. Reciprocating compressors units are commonly used in industry for gas pressurization and transportation, and th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af4b77113168f17a4bf883fa98286916
Autor:
René-Vinicio Sánchez, Diego Cabrera, Chuan Li, Fernando Sancho, Edgar Estupinan, Mariela Cerrada
Publikováno v:
ISA transactions. 110
The lack of faulty condition data reduces the feasibility of supervised learning for fault detection or fault severity discrimination in new manufacturing technologies. To deal with this issue, one-class learning arises for building binary discrimina
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c229c4b7b986d00e89e5cbe2958191f8
https://pubmed.ncbi.nlm.nih.gov/33081986
https://pubmed.ncbi.nlm.nih.gov/33081986
Autor:
Edgar Estupinan, Oscar Cordero
Publikováno v:
INVESTIGACION & DESARROLLO. 18:129-142
El fin del superciclo de precios del cobre ha dejado de manifiesto el desafio de ser mas rigurosos en el control de costos de produccion en la industria minera, por lo cual se deben explorar nuevas estrategias que permitan contener y bajar los costos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::247b98689fa754a1da0acf6bdced9f6d
https://doi.org/10.23881/idupbo.018.1-10i
https://doi.org/10.23881/idupbo.018.1-10i
Publikováno v:
Revista Facultad de Ingeniería, Vol 26, Iss 44, Pp 61-71 (2017)
Redalyc
Redalyc
The pyrometallurgical copper extraction process generates 2.2 t of residues for each ton of produced metal. Initially, this paper shows the physical and chemical characterization of a copper processing residue, followed by the procedure to obtain the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a1ea2b57ad5712b24f9670a1ae4ecded
https://doi.org/10.19053/01211129.v26.n44.2017.5772
https://doi.org/10.19053/01211129.v26.n44.2017.5772
Autor:
Edgar Estupinan, Oscar Cordero
Publikováno v:
BISTUA REVISTA DE LA FACULTAD DE CIENCIAS BASICAS. 17:21
Los cambios y variaciones cada vez más frecuentes en los precios del cobre, dejan de manifiesto, la necesidad de que las empresas mineras sean cada vez más rigurosas en el control de costos de producción, manteniendo su competitividad en el mercad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fcbff85f7a9bdcebfb5a9464f16f026
https://doi.org/10.24054/01204211.v2.n2.2019.3519
https://doi.org/10.24054/01204211.v2.n2.2019.3519