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Title
Multi-scale hybrid HMM for tool wear condition monitoring
Authors
Keywords
Cutting force, Tool condition monitoring, Continuous wavelet transform, Hybrid hidden Markov model
Journal
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
Volume 84, Issue 9-12, Pages 2437-2448
Publisher
Springer Nature
Online
2015-10-03
DOI
10.1007/s00170-015-7895-3
References
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Related references
Note: Only part of the references are listed.- Multi-scale statistical signal processing of cutting force in cutting tool condition monitoring
- (2015) Dong Gao et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
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- A Physically Segmented Hidden Markov Model Approach for Continuous Tool Condition Monitoring: Diagnostics and Prognostics
- (2012) Omid Geramifard et al. IEEE Transactions on Industrial Informatics
- Hybrid Incremental Modeling Based on Least Squares and Fuzzy $K$-NN for Monitoring Tool Wear in Turning Processes
- (2012) Francisco Penedo et al. IEEE Transactions on Industrial Informatics
- Online monitoring and measurements of tool wear for precision turning of stainless steel parts
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- Cutting force and diamond tool wear in stone machining
- (2011) S. Turchetta INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
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- (2011) Mei Wang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
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- (2009) Diego H. Milone et al. PATTERN RECOGNITION
- Multi-category micro-milling tool wear monitoring with continuous hidden Markov models
- (2008) Kunpeng Zhu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
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