Distribution level electric current consumption and meteorological data set of the east region of Paraguay

Autor: Gustavo Velázquez, Félix Morales, Miguel García-Torres, Francisco Gómez-Vela, Federico Divina, José Luis Vázquez Noguera, Federico Daumas-Ladouce, Carlos Sauer Ayala, Diego P. Pinto-Roa, Pedro E. Gardel-Sotomayor, Julio César Mello Román

Publikováno v: Data in Brief, Vol 40, Iss , Pp 107699- (2022)

This paper presents a data set with information on meteorological data and electricity consumption in the department of Alto Paraná, Paraguay. The meteorological data were registered every three hours at the Aeropuerto Guarani, Department of Alto Pa

Externí odkaz: https://doaj.org/article/f486a27128b9401bb192111cf938b02c

Distribution level electric current consumption and meteorological data set of the east region of Paraguay.

Autor: Velázquez G; Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay., Morales F; Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay., García-Torres M; Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay.; Data Science and Big Data Lab, Universidad Pablo de Olavide, Seville ES-41013, Spain., Gómez-Vela F; Data Science and Big Data Lab, Universidad Pablo de Olavide, Seville ES-41013, Spain., Divina F; Data Science and Big Data Lab, Universidad Pablo de Olavide, Seville ES-41013, Spain., Vázquez Noguera JL; Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay., Daumas-Ladouce F; Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay., Sauer Ayala C; Facultad de Ingeniería, Universidad Nacional de Asunción, San Lorenzo 111421, Paraguay., Pinto-Roa DP; Facultad Politécnica, Universidad Nacional de Asunción, San Lorenzo 111421, Paraguay., Gardel-Sotomayor PE; Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay.; Facultad de Ciencias y Tecnológia, Universidad Católica Nuestra Señora de la Asunción, Campus Alto Párana, Paraguay., Mello Román JC; Computer Engineer Department, Universidad Americana, Asunción 1029, Paraguay.; Facultad de Ciencias y Tecnología, Universidad Caólica Nuestra Señora de la Asunción, Campus Alto Paraná, Paraguay.

Publikováno v: Data in brief [Data Brief] 2021 Dec 10; Vol. 40, pp. 107699. Date of Electronic Publication: 2021 Dec 10 (Print Publication: 2022).

Aggregation of Electric Current Consumption Features to Extract Maintenance KPIs

Autor: Victor Simon, Diego Galar, Carl-Anders Johansson

Publikováno v: Management Systems in Production Engineering, Vol 25, Iss 3, Pp 183-190 (2017)

All electric powered machines offer the possibility of extracting information and calculating Key Performance Indicators (KPIs) from the electric current signal. Depending on the time window, sampling frequency and type of analysis, different indicat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5e6aa240f9f753e37607d362a670109a
https://doi.org/10.1515/mspe-2017-0027

Application of Response Surface Methodology for Modeling and Optimization of Surface Roughness and Electric Current Consumption in Turning Operation

Autor: Charles S. C Punuhsingon, Soo-Cheol Oh

Publikováno v: Journal of the Korean Society of Manufacturing Process Engineers. 13:56-68

This paper presents an experiment on the modeling, analysis, prediction and optimization of machining parameters used during the turning process of the low-carbon steel known as ST40. The parameters used to develop the model are the cutting speed, th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::a0e3c34b76d4a360e1fe71bfff092ff7
https://doi.org/10.14775/ksmpe.2014.13.4.056

Aggregation of electric current consumption features for extraction of maintenance KPIs

Autor: Carl-Anders Iohansson, Victor Simon, Galar Diego

For all electric powered machines there is apossibility of extracting information and calculating KeyPerformance Indicators (KPIs) from the electric current signal.Depending on the time window, sampling frequency and type ofanalysis, different indica

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10fa06a43c3f3ecc68d3f704bdec7d32
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-30205