JOURNAL ARTICLE

Self-powered wireless vibration-sensing system for machining monitoring

Tien‐Kan ChungHao LeeChia-Yung TsengWen-Tuan LoChieh-Min WangWen-Chin WangChi-Jen TuPei-Yuan TasiJui-Wen Chang

Year: 2013 Journal:   Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE Vol: 8692 Pages: 86922U-86922U   Publisher: SPIE

Abstract

In this paper, we demonstrate an attachable energy-harvester-powered wireless vibration-sensing module for milling-process monitoring. The system consists of an electromagnetic energy harvester, MEMS accelerometer, and wireless module. The harvester consisting of an inductance and magnets utilizes the electromagnetic-induction approach to harvest the mechanical energy from the milling process and subsequently convert the mechanical energy to an electrical energy. Furthermore, through an energy-storage/rectification circuit, the harvested energy is capable of steadily powering both the accelerometer and wireless module. Through integrating the harvester, accelerometer, and wireless module, a self-powered wireless vibration-sensing system is achieved. The test result of the system monitoring the milling process shows the system successfully senses the vibration produced from the milling and subsequently transmits the vibration signals to the terminal computer. Through analyzing the vibration data received by the terminal computer, we establish a criterion for reconstructing the status, condition, and operating-sequence of the milling process. The reconstructed status precisely matches the real status of the milling process. That is, the system is capable of demonstrating a real-time monitoring of the milling process.

Keywords:
Accelerometer Vibration Wireless Energy (signal processing) Energy harvesting Process (computing) Wireless sensor network Rectification Condition monitoring Microelectromechanical systems Engineering Electrical engineering Computer science Electronic engineering Acoustics Voltage Materials science Telecommunications Physics

Metrics

5
Cited By
1.19
FWCI (Field Weighted Citation Impact)
9
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Innovative Energy Harvesting Technologies
Physical Sciences →  Engineering →  Mechanical Engineering
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Wireless Power Transfer Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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