Effectiveness of the spatial acceleration modulus for rolling elements bearing fault detection

• Autorzy: Cotogno M. , Cocconcelli M. , Rubini R.
• Języki publikacji: EN

Abstrakty

EN

Rolling Elements Bearing (REB) condition monitoring is mainly based on the analysis of acceleration (vibration) signal in the load direction. This is one of the three components of the acceleration vector in 3D space: the main idea of this paper is the recovery of additional fault information from the other two acceleration vector components by combining them to obtain the modulus of the spatial acceleration (SAM) vector. The REB diagnostic performances of the SAM are investigated and compared to the load direction of vibration by means a rough estimator of the “Signal-to-Noise” Ratio and the Spectral Kurtosis. The SAM provides a higher SNR than the single load direction. Finally, Spectral Kurtosis driven Envelope analysis is performed for further comparison of the two signals: its results highlight that demodulation of the SAM isn’t stricly necessary to extract the fault features, which are already available in the raw signal spectrum.

Słowa kluczowe

EN

rolling element bearing; diagnostic; spatial acceleration modulus; SAM; SNR; spectral Kurtosis; envelope analysis

• Wydawca: Polskie Towarzystwo Diagnostyki Technicznej
• Czasopismo: Diagnostyka
• Rocznik: 2013
• Tom: Vol. 14, No. 4
• Strony: 27--34
• Opis fizyczny: Bibliogr. 9 poz., tab., wykr.

Twórcy

autor

Cotogno M.

• University of Modena and Reggio Emilia, Department of Science and Engineering Methods, Via Amendola, 2 - Morselli Building, 42122 Reggio Emilia, Italy

autor

Cocconcelli M.

• University of Modena and Reggio Emilia, Department of Science and Engineering Methods, Via Amendola, 2 - Morselli Building, 42122 Reggio Emilia, Italy

autor

Rubini R.

• University of Modena and Reggio Emilia, Department of Science and Engineering Methods, Via Amendola, 2 - Morselli Building, 42122 Reggio Emilia, Italy

Bibliografia

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• [3] Antoni J (2006) The spectral Kurtosis: a useful tool for characterizing non-stationary signals. Mechanical Systems and Signal Processing 20: 282-307.
• [4] Antoni J, Randall RB (2006) The spectral Kurtosis: application to the vibratory surveillance and diagnostics of rotating machines. Mechanical Systems and Signal Processing 20: 308-331.
• [5] Barszcz T, Randall RB (2009) Application of spectral Kurtosis for detection of a tooth crack in the planetary gear of a wind turbine. Mechanical Systems and Signal Processing 23(4): 1352-1365.
• [6] Cocconcelli M, Zimroz R, Rubini R, Bartelmus W (2012) Kurtosis over Energy Distribution Approach for STFT Enhancement in Ball Bearing Diagnostics. Proceedings of the Second International Conference "Condition Monitoring of Machinery in Non-Stationary Operations" CMMNO’2012 51-59.
• [7] McFadden PD, Smith JD (1984) Vibration monitoring of rolling element bearings by the highfrequency resonance technique - a review. Tribology International 17(1): 3-10.
• [8] Vrabie VD, Granjon P, Serviere C (2003) Spectral Kurtosis: from definition to application. IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, Grado, Italy, 2003, June 8-11.
• [9] Cotogno M, Cocconcelli M, Rubini R (2013) Spatial acceleration modulus for rolling elements bearing. Proceedings of the Third International Conference "Condition Monitoring of Machinery in Non-Stationary Operations" CMMNO’2013.