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Previous issue date: 2011-12-22 / Induction motors are one of the most important equipment of modern industry. However, in many situations, are subject to inadequate conditions as high temperatures and pressures, load variations and constant vibrations, for example. Such conditions, leaving them more susceptible to failures, either external or internal in nature, unwanted in the industrial process. In this context, predictive maintenance plays an important role, where the detection and diagnosis of faults in a timely manner enables the increase of time of the engine and the possibiity of reducing costs, caused mainly by stopping the production and corrective maintenance the motor itself. In this juncture, this work proposes the design of a system that is able to detect and diagnose faults in induction motors, from the collection of electrical line voltage and current, and also the measurement of engine speed. This information will use as input to a fuzzy inference system based on rules that find and classify a failure from the variation of thess quantities / Os motores de indu??o constituem-se em um dos equipamentos mais importantes da ind?stria moderna. Contudo, em muitas situa??es, ficam sujeitos a condi??es inadequadas como temperaturas e press?es elevadas, varia??es de carga e vibra??es constantes, por exemplo. Tais condi??es, os deixam mais suscept?veis a falhas, seja de natureza externa ou interna, indesejadas no processo industrial. Neste contexto, a manuten??o preditiva desempenha um papel relevante, onde a detec??o e o diagn?stico de falhas conseguidos em tempo h?bil possibilita o aumento do tempo de uso do motor e a possibilidade de diminui??o de custos, causados principalmente, com a parada da produ??o e com a manuten??o corretiva do motor. Diante desta conjuntura, este trabalho prop?e a concep??o de um sistema que seja capaz de detectar e de diagnosticar falhas em motores de indu??o a partir da leitura e da interpreta??o de diagramas fasoriais de tens?o e de corrente de linha e da velocidade do motor, executados por um sistema inteligente baseado em l?gica fuzzy
| Identifer | oai:union.ndltd.org:IBICT/oai:repositorio.ufrn.br:123456789/15388 |
| Date | 22 December 2011 |
| Creators | Pinheiro, H?lio Henrique Cunha |
| Contributors | CPF:42046637100, http://lattes.cnpq.br/0477027244297797, Salazar, Andr?s Ortiz, CPF:51618362968, http://lattes.cnpq.br/7865065553087432, Quintaes, Filipe de Oliveira, CPF:03164409494, http://lattes.cnpq.br/0868502609660648, Maitelli, Andr? Laurindo |
| Publisher | Universidade Federal do Rio Grande do Norte, Programa de P?s-Gradua??o em Engenharia El?trica, UFRN, BR, Automa??o e Sistemas; Engenharia de Computa??o; Telecomunica??es |
| Source Sets | IBICT Brazilian ETDs |
| Language | Portuguese |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Source | reponame:Repositório Institucional da UFRN, instname:Universidade Federal do Rio Grande do Norte, instacron:UFRN |
| Rights | info:eu-repo/semantics/openAccess |
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