Research on Monitoring of Machine Tools Based on Wireless Sensor Network
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.
Ran Chen and Wenli Yao
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