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2023
DOI: 10.1177/09544054231189313
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Tool remaining useful life prediction considering wear state based on hybrid attention network

Shihao Wu,
Yang Li,
Weiguang Li
et al.

Abstract: Accurate prediction of the remaining useful life for the cutting tool is a key part of the predictive maintenance of computer numerical control machines. However, the wide variety of tools makes the process of modeling different tool wear regularities redundant and cumbersome. In addition, it is difficult to deal with the input characteristics of multi-sensor monitoring signals in a targeted manner. To solve the above problems, a hybrid predictive model with squeeze-and-excitation (SE) module is proposed. Comb… Show more

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Cited by 2 publications
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