Processing for Improved Spectral Analysis

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Eric Bechhoefer Brandon Van Hecke David He

Abstract

The Fast Fourier Transform (FFT) is the workhorse of condition monitoring analysis. The FFTs’ assumption of stationarity is often violated in rotating machinery. Even in a six second acquisition on a wind turbine, the shaft speed can change by 5%. For Shaft and Gear analysis, this is mitigated through the use of the time synchronous average. For general spectrum analysis, or bearing envelope analysis, there is no such mitigation: one hopes that the effect of variation in shaft speed is small. Presented is a time synchronous resampling algorithm which corrects for variation in shaft speed, preserving the assumption of stationarity. This allows for improved spectral analysis, such as used in bearing fault detection. This is demonstrated on a real world-bearing fault.

How to Cite

Bechhoefer, E. ., Van Hecke, B. ., & He, D. . (2013). Processing for Improved Spectral Analysis. Annual Conference of the PHM Society, 5(1). https://doi.org/10.36001/phmconf.2013.v5i1.2220
Abstract 209 | PDF Downloads 117

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Keywords

Spectral Analysis, Bearing Analysis, Stationarity, FFT, Resampling

References
ISO 10816 Vibration Severity Standards.

Bechhoefer, E., He, D., (Bechhoefer 2008), Bearing Prognostics using HUMS Condition Indicators, American Helicopter Society 64th Annual fourm, Montreal.

McFadden, P., Smith, J., (McFadden 1985), A Signal Processing Technique for detecting local defects in a gear from a signal average of the vibration. Proc Instn Mech Engrs.

McFadden, P., (McFadden 1987) “A revised model for the extraction of periodic waveforms by time domain averaging”, Mechanical Systems and Signal Processing 1 (1) 1987, pages 83-95

Bechhoefer, E., Kingsley, M. (Bechhoefer 2009a). “A Review of Time Synchronous Average Algorithms”. Annual Conference of the Prognostics and Health Management Society

Christian, K., Mureithi, N, Lakis, A., Thomas, M., (Christian, 2007), “On the use of Time Synchronous Averaging, Independent Component Analysis and Support Vector Machines for
Bearing Fault Diagnosis”, First International Conference on Industrial Risk Engineering, Montreal, Dec 17-19 Montreal.

Bechhoefer, E., Kingsley, M., Menon, P., (Bechhoefer, 2009b), “Bearing Envelope Analysis Window Selection Using Spectral Kurtosis Techniques”, IEEE PHM Conference, 2011.
Section
Technical Papers

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