Araújo, Fabio Meneghetti Ugulino deSantos, Wallisson Fernandes Martins Dos2023-10-202023-10-202023-07-26SANTOS, Wallisson Fernandes Martins dos. Detecção e diagnóstico de falhas em rolamentos, sob diferentes cargas e velocidades, utilizando Redes Neurais Convolucionais. 2023. 83 f. Dissertação (Mestrado em Engenharia Mecatrônica) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2023.https://repositorio.ufrn.br/handle/123456789/55037With the increasing complexity and costs of industrial systems, anagement measures aimed at preventing or mitigating the loss of reliability, decreased productivity and safety risks, caused by process abnormalities and component failures, become increasingly important. . In this context, Artificial Intelligence (AI) has been consolidating itself as an effective and challenging means in the process of monitoring, detecting and diagnosing failures in equipment and industrial systems. Among the equipment, which are frequently the object of studies, bearings stand out, which are critical mechanical components of rotating machines. Vibration monitoring is the most widely used technique for detecting, locating and distinguishing bearing faults. Faced with the efficient and increasing performance of AI techniques and the importance of bearings in industrial processes, this work implements a Convolutional Neural Network (CNN) for Detection and Diagnosis of Faults (DDF) in bearings, under different loads and speeds in the motor and different types and depth of bearing failures. For the development of the proposed approach, the Case Western Reserve University (CWRU) bearing test database was used. The raw vibration signals were preprocessed through the Continuous Wavelet Transform (TWC) and converted into images, which were fed directly into the developed CNN structure. When compared to other CNN-based methods that used the same database, the proposed approach demonstrated superiority or was at least as successful, achieving an accuracy of 97.7% when tested with files under operating conditions other than operating conditions. training...Acesso Abertodetecção e diagnósticos de falhasrede neural convolucionaltécnicas de inteligência artificialfalhas em rolamentosaprendizado de máquinas.masterThesis