An HDP-HMM based approach for tool wear estimation and tool life prediction
Author:
Affiliation:
1. School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing, China
2. School of Automation Science and Electrical Engineering, Beihang University, Beijing, China
Funder
National Natural Science Foundation of China
National Key R&D Program of China
Publisher
Informa UK Limited
Subject
Industrial and Manufacturing Engineering,Safety, Risk, Reliability and Quality
Link
https://www.tandfonline.com/doi/pdf/10.1080/08982112.2020.1813760
Reference34 articles.
1. Health assessment and life prediction of cutting tools based on support vector regression
2. Tool wear condition monitoring based on continuous wavelet transform and blind source separation
3. Wavelet-based statistical signal processing using hidden Markov models
4. Tool-wear prediction and pattern-recognition using artificial neural network and DNA-based computing
5. An unsupervised online monitoring method for tool wear using a sparse auto-encoder
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