Construction of vibration monitoring system based on Wireless Sensor Network (WSN) for machining process

Abstract

Abstract At present, the wired vibration sensor monitoring system for rotating machinery has been successfully implemented in the modern industry. Regardless of its advantages such as real-time transmission and the fast response, the complex configuration can cause a problem such as tucked cables and higher cost as it is employed in large equipment. Therefore, in this current study, the vibration monitoring system based on Wireless Sensor Network (WSN) is developed. The new monitoring system proposed in this study involves the utilization of the Xbee module, Raspberry Pi, Arduino UNO, and Grove vibration sensor. Three parameters which are the indoor range, cost optimization, and the capability to connect to the internet are the main considerations to build the system. In order to validate the proposed vibration monitoring system based on WSN, milling experiment was conducted. From the vibration sensor being installed in the milling machine, it can be observed that the system is adequate to accomplish vibration data through wireless connection with the distance about 3 meters. By real time investigation of the vibration data, the system able to recognize any error in the milling process. Therefore, the system capable to prevent failure in the machining process specifically in the milling process.