Research on Monitoring of Machine Tools Based on Wireless Sensor Network

Abstract:

Article Preview

This paper discusses the structure of wireless sensor network (WSN) and the key technologies for the monitoring of machine tools. Multi-sensor is used to monitor the acoustic emission and vibration signal during the manufacturing process of machine tools. Vibration signals and acoustic characteristics are extracted by using wavelet analysis. Based on the fusion of BP artificial neural networks and multi-sensor information, the monitoring of machine tool is carried out in the environment of wireless sensor network.

Info:

Periodical:

Advanced Materials Research (Volumes 230-232)

Edited by:

Ran Chen and Wenli Yao

Pages:

616-619

DOI:

10.4028/www.scientific.net/AMR.230-232.616

Citation:

Z. Q. Sheng et al., "Research on Monitoring of Machine Tools Based on Wireless Sensor Network", Advanced Materials Research, Vols. 230-232, pp. 616-619, 2011

Online since:

May 2011

Export:

Price:

$38.00

[1] Warneke B., Last M., Liebowitz B. and Pister Ksj. Smart dust: IEEE Computer Magazine, Vol. 34(2001), pp.44-51.

DOI: 10.1109/2.895117

[2] Manjeshwar A. and Agrawal Dp. Teen: IEEE Computer Society, Vol. 12(2001), p.2009-(2015).

[3] Ying Liang, HaiBin Yu and Peng Zeng: Chinese Journal of Information and Control. Vol. 34 (2005): pp.1819-330, in Chinese.

[4] Yuhua Lu and Yong Zhang: Chinese Journal of Instrumentation Technique and Sensor, Vol. 25 (2009), pp.109-111, in Chinese.

In order to see related information, you need to Login.