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Proceedings Paper

Self-powered wireless vibration-sensing system for machining monitoring
Author(s): Tien-Kan Chung; Hao Lee; Chia-Yung Tseng; Wen-Tuan Lo; Chieh-Min Wang; Wen-Chin Wang; Chi-Jen Tu; Pei-Yuan Tasi; Jui-Wen Chang
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Paper 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.

Paper Details

Date Published: 19 April 2013
PDF: 6 pages
Proc. SPIE 8692, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013, 86922U (19 April 2013); doi: 10.1117/12.2009435
Show Author Affiliations
Tien-Kan Chung, National Chiao Tung Univ. (Taiwan)
Hao Lee, National Chiao Tung Univ. (Taiwan)
Chia-Yung Tseng, National Chiao Tung Univ. (Taiwan)
Wen-Tuan Lo, National Chiao Tung Univ. (Taiwan)
Chieh-Min Wang, National Chiao Tung Univ. (Taiwan)
Wen-Chin Wang, Precision Machinery Research and Development Ctr. (Taiwan)
Chi-Jen Tu, Precision Machinery Research and Development Ctr. (Taiwan)
Pei-Yuan Tasi, Precision Machinery Research and Development Ctr. (Taiwan)
Jui-Wen Chang, Precision Machinery Research and Development Ctr. (Taiwan)


Published in SPIE Proceedings Vol. 8692:
Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems 2013
Jerome Peter Lynch; Chung-Bang Yun; Kon-Well Wang, Editor(s)

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