Estudo das técnicas nível global rms e energia residual para detecção de falhas em engrenagens

Abstract

After the industrial revolution, maintenance plants have invested in ways to maximize the availability and reliability of their equipment. Then, predictive maintenance came to make the monitoring of machinery condition without taking it out of operation, using, for this purpose, the analysis of vibrational signatures. Thus, this work aims to study about the Global Level RMS and the Residual Energy, both vibration analysis techniques applied to a gear systems. Various tests took place in a bench with gears operating with and without the presence of defect – broken tooth – and lubrication. For data collection, a system consisting of accelerometer, signal conditioner, oscilloscope and computer was used. Then a computer program developed in MATLAB was used for the treatment of data and the application of vibration analysis techniques. In the analysis of failure, the Global Level RMS proved to be inconclusive, with variations of 0.0215 (4.3%), but for lubrication analysis, this technique showed useful values, showing variations of 0.3161 (63.4%). For all tests, the Residual Energy showed consistent results, proving to be the most appropriate technique for the detection of the failure. The importance of the accelerometer position on the bench was also discussed, leading to choose the bearing 3 to carrying out the data collection.