A Study of Rolling-Element Bearing Fault Diagnosis Using Motor's Vibration and Current Signatures
نویسندگان
چکیده
منابع مشابه
Rolling Element Bearing Vibration – Generation and Significance
Rolling bearings are one of the most important noise and vibration generator into mechanical constructions. Therefore, it is very important to have knowledge of the rolling element bearings influence on the level of noise and vibration in this systems. This paper deals with a basic forms for generation of vibration and noise of rolling element bearing and suggestions of vibration analysis signi...
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A classification technique using Support Vector Machine (SVM) classifier for detection of rolling element bearing fault is presented here. The SVM was fed from features that were extracted from of vibration signals obtained from experimental setup consisting of rotating driveline that was mounted on rolling element bearings which were run in normal and with artificially faults induced conditio...
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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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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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ژورنال
عنوان ژورنال: IFAC Proceedings Volumes
سال: 2009
ISSN: 1474-6670
DOI: 10.3182/20090630-4-es-2003.00059