Modeling and tagging of time sequence signals in the milling process based on an improved hidden semi-Markov model

作者：

Highlights：

• An improved HSMM was proposed to model and tag the spindle vibration signals.

• Mel frequency cepstral coefficients are extracted as observation sequences.

• The mean Intersection over Union was used to evaluate the accuracy.

• The proposed method was verified in the laboratory and real industry machining.

摘要

•An improved HSMM was proposed to model and tag the spindle vibration signals.•Mel frequency cepstral coefficients are extracted as observation sequences.•The mean Intersection over Union was used to evaluate the accuracy.•The proposed method was verified in the laboratory and real industry machining.

论文关键词：Milling,Vibration signal,Sequence tagging,Hidden semi-Markov model

论文评审过程：Received 29 September 2021, Revised 15 May 2022, Accepted 2 June 2022, Available online 6 June 2022, Version of Record 9 June 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117758