Abstract:<p>Amid the current digital transformation wave, predictive maintenance (PdM) using machine learning has become prevalent due to its potential to reduction for total cost and turnaround time in the manufacturing and MRO (maintenance, repair, and operations) sectors. Predicting machinery tool wear or remaining useful life is one of the essential applications in modern PdM. As a result, many deep learning based prediction methods emerged in recent years’ literature and continuously advancing the state-of-t… Show more
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