Tool remaining useful life prediction method based on LSTM under variable working conditions

• Published in: International journal of advanced manufacturing technology Vol. 104; no. 9-12; pp. 4715 - 4726
• Main Authors: Zhou, Jing-Tao, Zhao, Xu, Gao, Jing
• Format: Journal Article
• Language: English
• Published: London Springer London 01.10.2019; Springer Nature B.V
• Subjects: CAE) and Design; Computer-Aided Engineering (CAD; Continuous production; Correlation; Engineering; Feature extraction; Industrial and Production Engineering; Life prediction; Mechanical Engineering; Media Management; Original Article; Prediction models; Signal processing; Tool life; Tool wear; Useful life; Working conditions; Long short-term memory; Hilbert-Huang Transform; Variable working conditions; Tool remaining useful life prediction

Tool remaining useful life prediction is important to guarantee processing quality and efficient continuous production. Tool wear is directly related to the working conditions, showing a complex correlation and timing correlation, which makes it difficult to predict the tool remaining useful life un...