Rolling Element Bearing Faults Detection, Wavelet De-noising Analysis
نویسندگان
چکیده
منابع مشابه
Rolling Element Bearing Faults Detection, Wavelet De-noising Analysis
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 rec...
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Envelope Detection (ED) is traditionally always used with Fast Fourier Transform (FFT) to identify the rolling element bearing faults. The inability of FFT to detect non-stationary signals makes Wavelet Analysis (WA) an alternative for machinery fault diagnosis as WA can detect both stationary and non-stationery signals. A comparative study of ED with FFT and WA techniques for bearing fault dia...
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The failure of rotating machinery sometimes involves several faulty components. Existence of both bearing fault and gearbox fault is widely observed and in this situation the vibration feature of the bearing fault can be masked by the faulty gearbox vibration signals. In this research, a method is proposed based on wavelet packet transform and envelope analysis to extract fault features of the ...
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ژورنال
عنوان ژورنال: Universal Journal of Mechanical Engineering
سال: 2015
ISSN: 2332-3353,2332-3361
DOI: 10.13189/ujme.2015.030203