DocumentCode :
249165
Title :
Vibration analysis for bearing fault detection in electrical motors
Author :
Chaudhari, Yogita K. ; Gaikwad, Jitendra A. ; Kulkarni, J.V.
Author_Institution :
Dept. of Instrum. Eng., Vishwakarma Inst. of Technol., Pune, India
fYear :
2014
fDate :
19-20 Aug. 2014
Firstpage :
146
Lastpage :
150
Abstract :
Failure in rolling element bearings is most common failure type associated with electrical machines. Bearing faults results in failure of machine and eventually loss in productivity facility. Localised faults in bearing generate impulses in vibration signal due to impacts of rolling elements on races. Vibration signals for three conditions of ball bearing; 1) good, 2) having fault on outer race and 3) having combined fault one on outer race and one on ball were acquired. FFT and Discrete Wavelet Transform (DWT) using db02 were used for analysis.
Keywords :
discrete wavelet transforms; electric motors; fast Fourier transforms; fault diagnosis; fault location; rolling bearings; signal processing; vibrations; DWT; FFT; bearing fault detection; db02; discrete wavelet transform; electrical machines; electrical motors; localised faults; productivity facility; rolling element bearings; rolling elements; vibration analysis; vibration signal; vibration signals; Discrete wavelet transforms; Rolling bearings; Time-frequency analysis; Vibrations; Wavelet analysis; Bearing fault; Discrete Wavelet Transform; Electrical motor; Vibration; fault frequency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks & Soft Computing (ICNSC), 2014 First International Conference on
Conference_Location :
Guntur
Print_ISBN :
978-1-4799-3485-0
Type :
conf
DOI :
10.1109/CNSC.2014.6906681
Filename :
6906681
Link To Document :
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