DocumentCode
2453196
Title
A smart wireless sensor for the diagnosis of broken bars in induction motors
Author
Philipp, F. ; Martinez, J. ; Glesner, M. ; Arkkio, A.
Author_Institution
Microelectron. Syst. Res. Group, Tech. Univ. Darmstadt, Darmstadt, Germany
fYear
2012
fDate
3-5 Oct. 2012
Firstpage
119
Lastpage
122
Abstract
This paper presents a solution for the low-cost implementation of diagnosis techniques for induction motors using networked intelligent wireless sensors. Based on computation “at the edge”, the proposed approach is particularly suitable for large networks. The analysis of the stator current spectrum of a broken rotor bar is presented as study case. The suitability and the implementation efficiency of the Zoom-FFT algorithm on the smart wireless sensor based on reconfigurable hardware is demonstrated.
Keywords
fast Fourier transforms; fault diagnosis; induction motors; intelligent sensors; reconfigurable architectures; rotors; spectral analysis; wireless sensor networks; broken rotor bar diagnosis; induction motor; networked intelligent wireless sensor; reconfigurable hardware; smart wireless sensor; stator current spectrum analysis; zoom-FFT algorithm; Bars; Condition monitoring; Induction motors; Monitoring; Rotors; Wireless communication; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics Conference (BEC), 2012 13th Biennial Baltic
Conference_Location
Tallinn
ISSN
1736-3705
Print_ISBN
978-1-4673-2775-6
Type
conf
DOI
10.1109/BEC.2012.6376830
Filename
6376830
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