Detection of Generalized Roughness Bearing Fault by Spectral Kurtosis Energy by Vibration or Current Signals
Articolo
Data di Pubblicazione:
2009
Citazione:
Detection of Generalized Roughness Bearing Fault by Spectral Kurtosis Energy by Vibration or Current Signals / Immovilli, Fabio; Cocconcelli, Marco; Bellini, Alberto; Rubini, Riccardo. - In: IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS. - ISSN 0278-0046. - ELETTRONICO. - 56:11(2009), pp. 4710-4717. [10.1109/TIE.2009.2025288]
Abstract:
Generalized roughness is the most common damage occurring to rolling bearing. It produces a frequency spreading of the characteristics fault frequencies, thus being difficult to detect with spectral or envelope analysis. A statistical analysis of typical bearing faults is here proposed in order to identify the spreading bandwidth related to specific conditions, relying on current or vibration measurements only. Then a diagnostic index based on the computation of the energy in the above defined bandwidth is used to diagnose bearing faults. The proposed method was validated experimentally with vibration signals, with robust and reliable results. The same procedure can be extended to current signals.
Tipologia CRIS:
Articolo su rivista
Keywords:
Bandwidth; Bearings; Data mining; Frequency modulation; Probability density function; Signal resolution; Torque; Vibrations; diagnostic reasoning; fault detection; rotating machine; mechanical factors; rough surface; signal processing; spectral analysis; wear
Elenco autori:
Immovilli, Fabio; Cocconcelli, Marco; Bellini, Alberto; Rubini, Riccardo
Link alla scheda completa:
Pubblicato in: