Multi-category micro-milling tool wear monitoring with continuous hidden Markov models

Mechanical Systems and Signal Processing ◽

10.1016/j.ymssp.2008.04.010 ◽

2009 ◽

Vol 23 (2) ◽

pp. 547-560 ◽

Author(s):

Kunpeng Zhu ◽

Yoke San Wong ◽

Geok Soon Hong

Keyword(s):

Tool Wear ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Micro Milling ◽

Tool Wear Monitoring ◽

Milling Tool ◽

Wear Monitoring

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Tool Wear Monitoring with Hidden Markov Models

10.1007/978-3-030-87878-8_9 ◽

2021 ◽

pp. 297-338

Author(s):

Kunpeng Zhu

Keyword(s):

Tool Wear ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Tool Wear Monitoring ◽

Wear Monitoring

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A COMPARATIVE STUDY OF FEATURE SELECTION FOR HIDDEN MARKOV MODEL-BASED MICRO-MILLING TOOL WEAR MONITORING

Machining Science and Technology ◽

10.1080/10910340802293769 ◽

2008 ◽

Vol 12 (3) ◽

pp. 348-369 ◽

Author(s):

K. P. Zhu ◽

G. S. Hong ◽

Y. S. Wong

Keyword(s):

Feature Selection ◽

Tool Wear ◽

Comparative Study ◽

Markov Model ◽

Hidden Markov ◽

Micro Milling ◽

Tool Wear Monitoring ◽

Milling Tool ◽

Wear Monitoring ◽

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Tool-Wear Monitoring Based on Continuous Hidden Markov Models

Lecture Notes in Computer Science - Progress in Pattern Recognition, Image Analysis and Applications ◽

10.1007/11578079_91 ◽

2005 ◽

pp. 880-890 ◽

Author(s):

Antonio G. Vallejo ◽

Juan A. Nolazco-Flores ◽

Rubén Morales-Menéndez ◽

L. Enrique Sucar ◽

Ciro A. Rodríguez

Keyword(s):

Tool Wear ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Tool Wear Monitoring ◽

Wear Monitoring

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Micro-milling tool wear monitoring under variable cutting parameters and runout using fast cutting force coefficient identification method

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-020-06272-z ◽

2020 ◽

Vol 111 (11-12) ◽

pp. 3175-3188

Author(s):

Tongshun Liu ◽

Kunpeng Zhu ◽

Gang Wang

Keyword(s):

Tool Wear ◽

Cutting Force ◽

Cutting Parameters ◽

Micro Milling ◽

Tool Wear Monitoring ◽

Force Coefficient ◽

Coefficient Identification ◽

Milling Tool ◽

Cutting Force Coefficient ◽

Wear Monitoring

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Application of backpropagation neural network for spindle vibration-based tool wear monitoring in micro-milling

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-011-3703-x ◽

2011 ◽

Vol 61 (1-4) ◽

pp. 53-61 ◽

Author(s):

Wan-Hao Hsieh ◽

Ming-Chyuan Lu ◽

Shean-Juinn Chiou

Keyword(s):

Neural Network ◽

Tool Wear ◽

Micro Milling ◽

Tool Wear Monitoring ◽

Backpropagation Neural Network ◽

Wear Monitoring ◽

Spindle Vibration

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Noise-Robust Tool Condition Monitoring in Micro-milling with Hidden Markov Models

Soft Computing Applications in Industry - Studies in Fuzziness and Soft Computing ◽

10.1007/978-3-540-77465-5_2 ◽

2008 ◽

pp. 23-46 ◽

Author(s):

K. P. Zhu ◽

Y. S. Wong ◽

G. S. Hong

Keyword(s):

Hidden Markov Models ◽

Condition Monitoring ◽

Markov Models ◽

Hidden Markov ◽

Tool Condition Monitoring ◽

Micro Milling ◽

Tool Condition ◽

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Remote milling tool-wear monitoring and direct wear features extraction by image processing

International Journal of Internet Manufacturing and Services ◽

10.1504/ijims.2008.021197 ◽

2008 ◽

Vol 1 (3) ◽

pp. 246 ◽

Author(s):

Shahnawaz Hussain ◽

Xun Chen

Keyword(s):

Image Processing ◽

Tool Wear ◽

Features Extraction ◽

Tool Wear Monitoring ◽

Milling Tool ◽

Wear Monitoring

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Hidden Markov models for monitoring machining tool-wear

2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100) ◽

10.1109/icassp.2000.860252 ◽

2002 ◽

Author(s):

L. Atlas ◽

M. Ostendorf ◽

G.D. Bernard

Keyword(s):

Tool Wear ◽

Hidden Markov Models ◽

Markov Models ◽

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Multi-rate hidden Markov models and their application to machining tool-wear classification

2004 IEEE International Conference on Acoustics, Speech, and Signal Processing ◽

10.1109/icassp.2004.1327241 ◽

2004 ◽

Author(s):

O. Cetin ◽

M. Ostendorf

Keyword(s):

Tool Wear ◽

Hidden Markov Models ◽

Markov Models ◽

Hidden Markov ◽

Tool Wear Classification

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Tool wear condition monitoring in drilling operations using hidden Markov models (HMMs)

International Journal of Machine Tools and Manufacture ◽

10.1016/s0890-6955(00)00112-7 ◽

2001 ◽

Vol 41 (9) ◽

pp. 1363-1384 ◽

Author(s):

Huseyin M. Ertunc ◽

Kenneth A. Loparo ◽

Hasan Ocak

Keyword(s):

Tool Wear ◽

Hidden Markov Models ◽

Condition Monitoring ◽

Markov Models ◽

Hidden Markov ◽

Drilling Operations ◽

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