An Artificial Intelligence Method for Predicting the Remaining Useful Life of CNC Milling Machine

Abstract

For a long time, machining has been an essential technology; it is crucial for shaping a wide range of high-hardness materials. Artificial intelligence (AI) has grown in popularity in recent years owing to advancements in the computing power of hardware, development of AI frameworks in software, and proliferation of data. AI can play a significant role in intelligent production, allowing manufacturers to improve the efficiency of factory information management and effectively reduce production and maintenance costs. In this study, AI techniques are used to predict the aging trend and determine the remaining useful life (RUL) of milling machine tools for prognostics. The proposed approach helps to mitigate the financial burden associated with accidents caused by the aging of machine tools, achieve intelligent production, and increase production capacity.