Universal Journal of Mechanical Engineering Vol. 3(2), pp. 47 - 51
DOI: 10.13189/ujme.2015.030203
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Rolling Element Bearing Faults Detection, Wavelet De-noising Analysis

Maamar Ali Saud AL-Tobi ^1,*, Khalid F. Al-Raheem ^2
1 Caledonian College of Engineering-Oman, Sultanate of Oman
² College of Engineering, Sohar University, Sultanate of Oman

ABSTRACT

The wavelet de-noising technique with wavelet based function has been used in this paper for bearing fault detection. The applications of the wavelet de-noising show that the fault pulses in time-domain of the de-noised signals are easily to be detected as a result of removing the covering noise, which is not possible through the time-domain analysis of the original signal. Furthermore, the reciprocal period which matches the bearing fault frequency can be easily detected without further analysis by FFT-Spectrum.

KEYWORDS
Wavelet Transform, Wavelet De-noising, Morlet, Bearing Fault Detection

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Maamar Ali Saud AL-Tobi , Khalid F. Al-Raheem , "Rolling Element Bearing Faults Detection, Wavelet De-noising Analysis," Universal Journal of Mechanical Engineering, Vol. 3, No. 2, pp. 47 - 51, 2015. DOI: 10.13189/ujme.2015.030203.

(b). APA Format:
Maamar Ali Saud AL-Tobi , Khalid F. Al-Raheem (2015). Rolling Element Bearing Faults Detection, Wavelet De-noising Analysis. Universal Journal of Mechanical Engineering, 3(2), 47 - 51. DOI: 10.13189/ujme.2015.030203.