Application of Wavelet Analysis in Fault Detection of Cell Phone Vibration Motor

被引:3
作者
Chang Li [1 ]
Luo Fenglin [1 ]
机构
[1] Shenyang Univ Technol, Sch Informat Sci & Engn, Shenyang 10178, Peoples R China
来源
2009 INTERNATIONAL ASIA CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION, AND ROBOTICS, PROCEEDINGS | 2009年
关键词
cell phone vibration motor; fault detection; MEMS; embedded system; wavelet transform;
D O I
10.1109/CAR.2009.108
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
It is easy to rind that the rotor of the cell phone vibration motor touches its outer case or magnet during assemblage, due to the poor verticality of shaft or jet burr. It is a fatal fault to result in the rejection. The main method to detect this kind of fault is the manual work up to now. The paper puts forward a high sensitive and automatic fault detection system based on MEMS, embedded system and wavelet transform. The micromachined accelerometer converted the vibration signal of the cell phone vibration motor into the voltage output signal, the embedded system S3C44BOX with internal A/D acquired the voltage and stored in itself memory, wavelet transform with powerful ability to detect transient component analyzed the data and diagnosed the fault. Experimental results show that the fault can be identified accurately and efficiently, which is significant to insure the quality of product and guide practical production.
引用
收藏
页码:473 / 476
页数:4
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