Remaining useful life prediction of a milling tool is one the determinants in making scientific maintenance decision for CNC machine tool. Predicting RUL accurately can improve machining efficiency and quality product. Deep learning methods have strong capability are extensively used. Multiscale CNN, typical deep model prediction, has large number parameters because its parallel convolutional p...

Abstract Nowadays, new challenges around increasing production quality and productivity, decreasing energy consumption, are growing in the manufacturing industry. In order to tackle these challenges, it is of vital importance monitor health critical components. machine tool sector, one main aspects wear cutting tools, as affects directly fulfillment tolerances, scrap, etc. Besides, prediction r...