Milling chatter detection system based on multi-sensor signal fusion

2021 ◽  
pp. 1-1
Author(s):  
Haining Gao ◽  
Hongdan Shen ◽  
Lei Yu ◽  
Wang Yinling ◽  
Rongyi Li ◽  
...  
Keyword(s):  
Detection System ◽  
Sensor Signal ◽  
Chatter Detection ◽  
Signal Fusion ◽  
Milling Chatter

scholarly journals Correction to: EEMD-based online milling chatter detection by fractal dimension and power spectral entropy

2020 ◽  
Vol 111 (7-8) ◽  
pp. 2401-2402
Author(s):  
Yongjian Ji ◽  
Xibin Wang ◽  
Zhibing Liu ◽  
Zhenghu Yan ◽  
Li Jiao ◽  
...  
Keyword(s):  
Fractal Dimension ◽  
Chatter Detection ◽  
Spectral Entropy ◽  
Power Spectral ◽  
Milling Chatter

Application of the Dither Technology in a Fault Detection System

2013 ◽  
Vol 281 ◽  
pp. 71-74
Author(s):  
Na Chen ◽  
Shao Pu Yang ◽  
Cun Zhi Pan
Keyword(s):  
Fault Diagnosis ◽  
Fault Detection ◽  
Detection System ◽  
Signal To Noise Ratio ◽  
Sensor Signal ◽  
Signal To Noise ◽  
Sampling System ◽  
System A ◽  
Fault Diagnosis System ◽  
Direct Guidance

In a fault detection system A/D conversion is a necessary step, in which quantization issues are unavoidable. Problems about quantization effects can be solved properly by using the dither technique. Firstly quantization problems of A/D conversion in a fault diagnosis system are discussed. Then the principle of dithering technique is introduced from the view of probability statistics. In further more, it is tested that fault signals whose amplitude is less than the quantization interval can be extracted, and that coherent harmonic interference in quantizing process can also be eliminated. Finally the result shows that by using dither technique the system can gain an enhanced level of fault detection with a faint signal-to-noise ratio loss, which has a direct guidance on engineering design in sensor-signal-sampling system.

EEMD-based online milling chatter detection by fractal dimension and power spectral entropy

2017 ◽  
Vol 92 (1-4) ◽  
pp. 1185-1200 ◽  
Author(s):  
Yongjian Ji ◽  
Xibin Wang ◽  
Zhibing Liu ◽  
Zhenghu Yan ◽  
Li Jiao ◽  
...  
Keyword(s):  
Fractal Dimension ◽  
Chatter Detection ◽  
Spectral Entropy ◽  
Power Spectral ◽  
Milling Chatter

Milling chatter detection by multi-feature fusion and Adaboost-SVM

2021 ◽  
Vol 156 ◽  
pp. 107671
Author(s):  
Shaoke Wan ◽  
Xiaohu Li ◽  
Yanjing Yin ◽  
Jun Hong
Keyword(s):  
Feature Fusion ◽  
Chatter Detection ◽  
Milling Chatter
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