| dc.contributor | | en-US |
| dc.creator | Carrera, Jorge | |
| dc.creator | Franceschi, Rafael | |
| dc.creator | Gonzalez, Guadalupe | |
| dc.creator | Carrera, Jorge | |
| dc.creator | Franceschi, Rafael | |
| dc.creator | Gonzalez, Guadalupe | |
| dc.date | 2018-02-11 | |
| dc.date.accessioned | 2018-02-23T17:18:31Z | |
| dc.date.available | 2018-02-23T17:18:31Z | |
| dc.identifier | https://knepublishing.com/index.php/KnE-Engineering/article/view/1479 | |
| dc.identifier | 10.18502/keg.v3i1.1479 | |
| dc.identifier.uri | http://ridda2.utp.ac.pa/handle/123456789/4370 | |
| dc.description | The deterioration in electrical equipment, is normal and its process begins as soon as the equipment is installed. Failure to inspect may cause faults. A failure in these devices can represent from thousands of dollars in losses of production to loss of lives, therfore, it is our responsibility as engineers to develop and apply techniques that ensure their optimal operation. There are several maintenance techniques, including condition monitoring which uses vibration and electrical data from motors/generators to diagnose faults. The objective of this work is to develop a computational model of an induction motor based on the winding function technique to model electrical and mechanical faults. This is the first step in order to proceed with a most comprehensive project about condition monitoring of induction machines under fault based on signal processing analysis.Keywords: faults, induction machines, winding function | en-US |
| dc.format | application/msword | |
| dc.format | application/pdf | |
| dc.format | application/xml | |
| dc.language | eng | |
| dc.publisher | KnE Publishing | en-US |
| dc.relation | https://knepublishing.com/index.php/KnE-Engineering/article/view/1479/3289 | |
| dc.relation | https://knepublishing.com/index.php/KnE-Engineering/article/view/1479/3561 | |
| dc.relation | https://knepublishing.com/index.php/KnE-Engineering/article/view/1479/3562 | |
| dc.rights | info:eu-repo/semantics/openAccess | |
| dc.rights | https://creativecommons.org/licenses/by/4.0/ | |
| dc.source | 2518-6841 | |
| dc.source | KnE Engineering; 6th Engineering, Science and Technology Conference - Panama 2017 (ESTEC 2017); 758-767 | en-US |
| dc.title | Induction Motor Fault Modeling Based on the Winding Function | en-US |
| dc.type | info:eu-repo/semantics/article | |
| dc.type | info:eu-repo/semantics/publishedVersion | |
