Feature Extraction and Analysis Method of Spindle Vibration Signal for Tool Wear Monitoring

Mapping Intimacies ◽

10.1109/icacr53472.2021.9605184 ◽

2021 ◽

Author(s):

Bo Zhou ◽

Jianfu Zhang ◽

Yongkang Fu ◽

Dingwen Yu ◽

Jianjian Wang

Keyword(s):

Feature Extraction ◽

Tool Wear ◽

Vibration Signal ◽

Analysis Method ◽

Tool Wear Monitoring ◽

Wear Monitoring ◽

Spindle Vibration

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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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Tool Wear Monitoring and Diagnosis in Milling Using Vibration Signal

IFAC Proceedings Volumes ◽

10.1016/s1474-6670(17)48069-4 ◽

1994 ◽

Vol 27 (5) ◽

pp. 451-456

Author(s):

S. Zieba ◽

M. Sidahmed ◽

B. Dubuisson

Keyword(s):

Tool Wear ◽

Vibration Signal ◽

Tool Wear Monitoring ◽

Monitoring And Diagnosis ◽

Wear Monitoring

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Research on power and vibration signal acquisition method and system of machine tool for tool wear monitoring

Journal of Physics Conference Series ◽

10.1088/1742-6596/1939/1/012114 ◽

2021 ◽

Vol 1939 (1) ◽

pp. 012114

Author(s):

Bo Zhou ◽

Jianfu Zhang ◽

Yongkang Fu ◽

Dingwen Yu ◽

Jianjian Wang

Keyword(s):

Tool Wear ◽

Machine Tool ◽

Vibration Signal ◽

Signal Acquisition ◽

Tool Wear Monitoring ◽

Wear Monitoring ◽

Acquisition Method

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An analysis of feature identification for tool wear monitoring by using acoustic emission

Traitement du signal ◽

10.3166/ts.34.117-135 ◽

2017 ◽

Vol 34 (3-4) ◽

pp. 117-135 ◽

Author(s):

D KONDALA RAO ◽

Kolla SRINIVAS

Keyword(s):

Acoustic Emission ◽

Tool Wear ◽

Tool Wear Monitoring ◽

Feature Identification ◽

Wear Monitoring

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Acoustic Emission Sensing for Tool Wear Monitoring and Process Control in Metal Cutting

Handbook of Design, Manufacturing and Automation ◽

10.1002/9780470172452.ch33 ◽

2007 ◽

pp. 695-707 ◽

Author(s):

Karthikeyan Chittayil ◽

Soundar R. T. Kumara ◽

Paul H. Cohen

Keyword(s):

Acoustic Emission ◽

Process Control ◽

Tool Wear ◽

Metal Cutting ◽

Tool Wear Monitoring ◽

Acoustic Emission Sensing ◽

Wear Monitoring

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Vibration-based tool wear monitoring using artificial neural networks fed by spectral centroid indicator and RMS of CEEMDAN modes

The International Journal of Advanced Manufacturing Technology ◽

10.1007/s00170-021-07376-w ◽

2021 ◽

Author(s):

Mourad Nouioua ◽

Mohamed Lamine Bouhalais

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Tool Wear ◽

Tool Wear Monitoring ◽

Spectral Centroid ◽

Wear Monitoring ◽

Artificial Neural

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Intelligent tool wear monitoring based on parallel residual and stacked bidirectional long short-term memory network

Journal of Manufacturing Systems ◽

10.1016/j.jmsy.2021.06.006 ◽

2021 ◽

Vol 60 ◽

pp. 608-619

Author(s):

Xianli Liu ◽

Shaoyang Liu ◽

Xuebing Li ◽

Bowen Zhang ◽

Caixu Yue ◽

...

Keyword(s):

Tool Wear ◽

Short Term Memory ◽

Tool Wear Monitoring ◽

Term Memory ◽

Wear Monitoring ◽

Memory Network ◽

Long Short Term Memory

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Tool wear monitoring using acoustic emission in the existence of chatter

International Journal of Production Research ◽

10.1080/00207549008942839 ◽

1990 ◽

Vol 28 (10) ◽

pp. 1861-1869 ◽

Author(s):

YOICHI MATSUMOTO ◽

NGUN TJIANG ◽

BOBBIE FOOTE ◽

YNGVE NAERHEIMH

Keyword(s):

Acoustic Emission ◽

Tool Wear ◽

Tool Wear Monitoring ◽

Wear Monitoring

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Tool wear monitoring by using the imaginary part of the transfer function of the cutting dynamics

International Journal of Machine Tools and Manufacture ◽

10.1016/0890-6955(94)90008-6 ◽

1994 ◽

Vol 34 (3) ◽

pp. 393-406 ◽

Author(s):

Won-Tae Kwon ◽

Kornel F. Ehmann

Keyword(s):

Transfer Function ◽

Tool Wear ◽

Imaginary Part ◽

Tool Wear Monitoring ◽

Wear Monitoring

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An in-depth study of tool wear monitoring technique based on image segmentation and texture analysis

Measurement ◽

10.1016/j.measurement.2015.10.029 ◽

2016 ◽

Vol 79 ◽

pp. 44-52 ◽

Author(s):

Lihong Li ◽

Qingbin An

Keyword(s):

Image Segmentation ◽

Tool Wear ◽

Texture Analysis ◽

Tool Wear Monitoring ◽

Monitoring Technique ◽

Depth Study ◽

Wear Monitoring

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