DocumentCode :
3491604
Title :
Wireless Embedded Signals Acquisition for Mechanical Systems
Author :
Yongmin, Yang ; Zhongsheng, Chen ; Hao, Liu ; Zheng, Hu
Author_Institution :
Nat. Univ. of Defense Technol., Changsha
fYear :
2008
fDate :
6-8 April 2008
Firstpage :
56
Lastpage :
60
Abstract :
Vibration signal analysis is one of the most effective ways to monitor mechanical systems. Traditional ways are usually to mount additional sensors on the mechanical components; however, those ways have two unavoidable defects: Firstly, sampled vibration signals are susceptible to other useless signals from nearby components or surroundings and the signal-to-noise ratio is often low; Secondly, it may be not allowed to mount additional sensors or wires in some places. In this paper, one way of embedded vibration signals acquisition wirelessly is studied. Firstly, finite element model method is used to analyze and modified mechanical structures. Then micro-sensor module of vibration is designed considering two key factors: lower power consumption and small size. In the end, the proposed method is testified on one bearing and the results demonstrate that it is more effective to obtain useful fault signals than traditional methods.
Keywords :
condition monitoring; finite element analysis; mechanical products; microsensors; signal detection; structural engineering; vibrations; finite element model method; mechanical structure analysis; mechanical system monitoring; microsensor module; power consumption; vibration signal analysis; wireless embedded signals acquisition; Energy consumption; Finite element methods; Mechanical sensors; Mechanical systems; Monitoring; Signal analysis; Signal to noise ratio; Vibrations; Wireless sensor networks; Wires;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-1685-1
Electronic_ISBN :
978-1-4244-1686-8
Type :
conf
DOI :
10.1109/ICNSC.2008.4525183
Filename :
4525183
Link To Document :
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