DocumentCode :
3603503
Title :
Low-Cost Diagnosis of Rotor Asymmetries in Induction Machines Working at a Very Low Slip Using the Reduced Envelope of the Stator Current
Author :
Sapena-Bano, Angel ; Pineda-Sanchez, Manuel ; Puche-Panadero, Ruben ; Martinez-Roman, Javier ; Kanovic, Zeljko
Author_Institution :
Dept. of Electr. Eng., Univ. Politec. de Valencia, Valencia, Spain
Volume :
30
Issue :
4
fYear :
2015
Firstpage :
1409
Lastpage :
1419
Abstract :
Fault diagnosis of rotor asymmetries in induction machines working at a very low slip, through Fourier-based methods, usually requires a long acquisition time to achieve a high spectral resolution and a high sampling frequency to reduce aliasing effects. However, this approach generates a huge amount of data, which makes its implementation difficult using embedded devices with small internal memory, such as digital signal processors and field programmable gate arrays or devices with low computing power. In this paper, a new simplified diagnostic signal designated as the reduced envelope of the stator current is introduced to address this problem. The reduced envelope signal is built using only one sample of the current per cycle without any further processing, and it is demonstrated that it carries the same spectral information about the fault as the full-length current signal. Based on this approach, an embedded device has only to store and process a minimal set of samples compared with the raw current signal for a desired resolution. In this paper, the theoretical basis of the proposed method is presented, as well as its experimental validation using two different motors with broken bars: 1) a high-power induction motor working in a factory; and 2) a low-power induction motor mounted in a laboratory test bed.
Keywords :
asynchronous machines; fault diagnosis; rotors; signal sampling; broken bar; fault diagnosis; induction machines; low cost diagnosis; minimal sample set; raw current signal; rotor asymmetries; simplified diagnostic signal; stator current reduced envelope; very low slip operation; Fault diagnosis; Feature extraction; Harmonic analysis; Induction motors; Rotors; Signal resolution; Stators; Broken rotor bar detection; Fourier transforms; Hilbert transforms (HTs); condition monitoring; digital signal processor (DSP); fault diagnosis; field-programmable gate array (FPGA); induction motor; motor-current signature analysis; signal processing;
fLanguage :
English
Journal_Title :
Energy Conversion, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8969
Type :
jour
DOI :
10.1109/TEC.2015.2445216
Filename :
7150372
Link To Document :
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