Open AccessConstruction of vibration monitoring system based on Wireless Sensor Network (WSN) for machining process
Author(s) -
Fadhillah Azmi,
Kushendarsyah Saptaji,
M. Fikri
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1098/6/062094
Subject(s) - vibration , wireless sensor network , process (computing) , arduino , wireless , machining , real time computing , automotive engineering , engineering , transmission (telecommunications) , data transmission , computer science , embedded system , mechanical engineering , electrical engineering , computer network , telecommunications , acoustics , operating system , physics
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.