This paper addresses the development of a novel condition monitoring procedure for rolling element bearings which involves a combination of signal processing, signal analysis and artificial intelligence methods. Seven approaches based on power spectrum, bispectral and bicoherence vibration analyses
โฆ LIBER โฆ
The Application of Advanced Signal Processing Techniques to Induction Motor Bearing Condition Diagnosis
โ Scribed by D.-M. Yang; A.F. Stronach; P. MacConnell
- Book ID
- 110425487
- Publisher
- Springer Netherlands
- Year
- 2003
- Tongue
- English
- Weight
- 218 KB
- Volume
- 38
- Category
- Article
- ISSN
- 0025-6455
No coin nor oath required. For personal study only.
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The 1/ f noises [1] are turbulent signals that are found in many physical processes. Their name comes from the decreasing law of the spectral density irrespective of the de"nition used. One of the most famous 1/ f noise models is the fractional Brownian motion de"ned by Mandelbrot and Van Ness [2].
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โ 696 KB