<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Aiming at the problem that the micro drills is easy to be broken in the process of drilling; it is difficult to detect the drill bit. The drilling torque signal is taken as the monitoring object. A new method for the on-line monitoring the micro-drill breakage based on BP neural network is proposed. After the three layer wavelet decomposition of the drilling torque signal, the energy feature vector is used as the input layer of the BP network, and the mapping model of the working state and the drilling force of the micro drill bit is obtained by using the network structure of the four layers. Using MATLAB software and Lab VIEW software, a micro drill on-line monitoring software system is constructed. The experimental results show that the accuracy of the wavelet neural network is very high, which is more than 90%, which shows the validity of the monitoring model and the popularization of the system.</p>
</abstract>

Aiming at the problem that the micro drills is easy to be broken in the process of drilling; it is difficult to detect the drill bit. The drilling torque signal is taken as the monitoring object. A new method for the on-line monitoring the micro-drill breakage based on BP neural network is proposed. After the three layer wavelet decomposition of the drilling torque signal, the energy feature vector is used as the input layer of the BP network, and the mapping model of the working state and the drilling force of the micro drill bit is obtained by using the network structure of the four layers. Using MATLAB software and Lab VIEW software, a micro drill on-line monitoring software system is constructed. The experimental results show that the accuracy of the wavelet neural network is very high, which is more than 90%, which shows the validity of the monitoring model and the popularization of the system.

Research on Intelligent Monitoring Technology of Micro Hole Drilling

International Journal of Advanced Network, Monitoring and Controls

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"Research on Intelligent Monitoring Technology of Micro Hole Drilling"}

Aiming at the problem that the micro drills is easy to be broken in the process of drilling; it is difficult to detect the drill bit. The drilling torque...

Research on Intelligent Monitoring Technology of Micro Hole Drilling

Online veröffentlicht: 10. Apr. 2018

Seitenbereich: 142 - 146

DOI: https://doi.org/10.21307/iccnea.2017.94

Schlüsselwörter
Micro-role drilling, Micro-drill, Wavelet neural network, On-Line monitoring, Force

© 2017 Yanhong Sun et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Research on Intelligent Monitoring Technology of Micro Hole Drilling

Online veröffentlicht: 10. Apr. 2018

Seitenbereich: 142 - 146

DOI: https://doi.org/10.21307/iccnea.2017.94

SchlüsselwörterMicro-role drilling, Micro-drill, Wavelet neural network, On-Line monitoring, Force

© 2017 Yanhong Sun et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Schlüsselwörter
Micro-role drilling, Micro-drill, Wavelet neural network, On-Line monitoring, Force