An alternative approach to estimate load torque in industrial environment using neural networks
| dc.contributor.author | Goedtel, A. | |
| dc.contributor.author | Silva, I. N. da | |
| dc.contributor.author | Serni, P. J. A. [UNESP] | |
| dc.contributor.author | Flauzino, R. A. [UNESP] | |
| dc.contributor.author | IEEE | |
| dc.contributor.institution | Universidade de São Paulo (USP) | |
| dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
| dc.date.accessioned | 2020-12-10T22:01:24Z | |
| dc.date.available | 2020-12-10T22:01:24Z | |
| dc.date.issued | 2006-01-01 | |
| dc.description.abstract | The induction motors are largely used in several industry sectors. The dimensioning of an induction motor has still been inaccurate because in most of the cases the load behavior in its shaft is completely unknown. The proposal of this paper is to use artificial neural networks as a tool for estimating the load torque applied to the induction motor shaft rather than conventional methods, which use classical identification techniques and mechanical load modeling. Simulation results are also presented to validate the proposed approach. | en |
| dc.description.affiliation | Univ Sao Paulo, Sch Engn, Av Trabalhador Sao Carlense 400, BR-13566590 Sao Carlos, SP, Brazil | |
| dc.description.affiliation | State Univ Sao Paulo, Engn Sch Bauru, BR-17033 Sao Paulo, Brazil | |
| dc.description.affiliationUnesp | State Univ Sao Paulo, Engn Sch Bauru, BR-17033 Sao Paulo, Brazil | |
| dc.description.sponsorship | Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP) | |
| dc.description.sponsorshipId | FAPESP: 03/11353-0 | |
| dc.format.extent | 1388-+ | |
| dc.identifier.citation | 2006 1st Ieee Conference On Industrial Electronics And Applications, Vols 1-3. New York: Ieee, p. 1388-+, 2006. | |
| dc.identifier.uri | http://hdl.handle.net/11449/197375 | |
| dc.identifier.wos | WOS:000243884000269 | |
| dc.language.iso | eng | |
| dc.publisher | Ieee | |
| dc.relation.ispartof | 2006 1st Ieee Conference On Industrial Electronics And Applications, Vols 1-3 | |
| dc.source | Web of Science | |
| dc.title | An alternative approach to estimate load torque in industrial environment using neural networks | en |
| dc.type | Trabalho apresentado em evento | |
| dcterms.license | http://www.ieee.org/publications_standards/publications/rights/rights_policies.html | |
| dcterms.rightsHolder | Ieee |