Implementação e análise do desempenho de técnicas de monitoramento através de medição de vibração e correlação com corrente estatórica

Abstract

The growing demand for electricity coupled with the great importance of this sector to the national economic system has led the government and private companies to invest in studies for improving the performance of the systems involved in this process, given the important gains that this initiative can produce. In this context, this work is a contribution to the study of the development of a methodology for diagnosis of defects to the machine number three hydro Hydropower Plant Coaracy Nunes, located in Amapa State. In many situations the methods of vibration analysis is used to detect the presence of faults in this type of machine, this work will also be used to analyze the current signals to provide similar indications. This work aims to present a methodology for fault diagnosis in electrical machines using the vibration signals and correlation with the analysis of the stator current. Throughout this work presents a review of techniques for monitoring and diagnosis of the condition of electrical machinery, through vibration tests correlated with the characteristics of the stator current. The result of the correlation of vibration measurement with the current measurement is based on a methodology implemented by a system of acquisition and data processing platform developed in LabView. The experimental results were obtained from mechanical defects (unbalance and mechanical defects on the slopes, and internal bearings) induced in an experimental device designed with the intention to represent a generation system. Finally, the vibration and current signals were analyzed and compared to verify that the defects that were detected by the conventional vibration altered the behavior of current signals. The good results of this study demonstrate the feasibility of future studies in this area.