Contextual classification for smart machining based on unsupervised machine learning by Gaussian mixture model
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Title
Contextual classification for smart machining based on unsupervised machine learning by Gaussian mixture model
Authors
Keywords
-
Journal
INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
Volume -, Issue -, Pages 1-13
Publisher
Informa UK Limited
Online
2020-07-03
DOI
10.1080/0951192x.2020.1775302
References
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Related references
Note: Only part of the references are listed.- Knowledge-based multi-level aggregation for decision aid in the machining industry
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- (2018) Victor Godreau et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Holistic approach to machine tool data analytics
- (2018) Juergen Lenz et al. JOURNAL OF MANUFACTURING SYSTEMS
- A systematic development method for cyber-physical machine tools
- (2018) Chao Liu et al. JOURNAL OF MANUFACTURING SYSTEMS
- Smart Machining Process Using Machine Learning: A Review and Perspective on Machining Industry
- (2018) Dong-Hyeon Kim et al. International Journal of Precision Engineering and Manufacturing-Green Technology
- Expectation-Maximization Particle-Filter- and Kalman-Filter-Based Permanent Magnet Temperature Estimation for PMSM Condition Monitoring Using High-Frequency Signal Injection
- (2017) Guodong Feng et al. IEEE Transactions on Industrial Informatics
- A Tailored Ontology Supporting Sensor Implementation for the Maintenance of Industrial Machines
- (2017) Elaheh Maleki et al. SENSORS
- A decision-making tool based on decision trees for roughness prediction in face milling
- (2016) Juan J. Rodríguez et al. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
- Cyber physical process monitoring systems
- (2015) Jeff Morgan et al. JOURNAL OF INTELLIGENT MANUFACTURING
- Monitoring of distributed defects on HSM spindle bearings
- (2013) C. de Castelbajac et al. APPLIED ACOUSTICS
- Chatter in machining processes: A review
- (2011) Guillem Quintana et al. INTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE
- Advanced monitoring of machining operations
- (2010) R. Teti et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- A generic and innovative approach for integrated simulation and optimisation of end milling using solid modelling and neural network
- (2010) H. El-Mounayri et al. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
- Variable Selection for Clustering with Gaussian Mixture Models
- (2009) Cathy Maugis et al. BIOMETRICS
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