Development of a dressing monitoring system through artificial intelligence and acoustic maps for high performance grinding
Abstract
High performance grinding implies in reliable monitoring at high speeds. In this paper, the development of a dressing monitoring system based on Artificial Intelligence (AI) is discussed. Different from previous works that adopt AI to classify Acoustic Emission (AE) measurements in grinding operations, the proposed approach is less sensitive to noise. The results point out to increases in production velocity and quality. Simulated tests indicate to the high performance of the monitoring even in noise conditions.