ANÁLISE DE FALHAS EM MOTORES DE INDUÇÃO TRIFÁSICA, ATRAVÉS DO MÉTODO DE DETECÇÃO DE FALHAS ANÁLISE DE VIBRAÇÃO, UTILIZANDO CONTROLE POR LÓGICA FUZZY

Abstract

Induction motors have become extremely effective in many industrial processes. Thinking about it, there is the need for greater attention before its possible shortcomings, which can be stator, rotóricas and mechanical. They are subject at all times to a kind of failure, thus, predictive maintenance are extremely essential to avoid both losses in production processes, as financial losses. This research aims to prove the effectiveness of the control of these failures by Fuzzy Logic, which proposes to capture these failures through one or more fault detection methods, however, for this research will be used a specific fault detection method, Analysis Vibration. Fuzzy logic provides this by implementing rules in a work platform, so as to approximate the analysis tool such as a human and actual evaluation. With this new method applied, you can pre-assess the wear or possible faults that the engine is likely to have. This is sufficient time for it to be planned repairs and replacements of parts without loss of production time, as well as business profitability. The application is by the data collection engine, and vibration data for the same, both in normal conditions, as for malfunction conditions. These data will be released in the Software as inputs and outputs of the fuzzy logic, fault rules will be created and simulated to verify the effectiveness of this control system. This work will lead to the conclusion that both engines, as various other equipment, should explore more of the predictive maintenance using the Fuzzy Logic, which is an excellent tool. It will have a cost reduction both in maintenance, spare parts, as in profitability of the production process, all this with the application of predictive maintenance, controlled by Fuzzy Logic.