Feature extraction using indicators of cyclostationarity for a mechanical diagnosis purpose
Abstract
This paper focuses on features extraction based on cyclostationarity for diagnosis purpose. The objective is to derive new indicators for the diagnosis of rotating machinery. These indicators are based on cyclic higher order statistics and generalize some existing ones for the second order statistics. A comprehensive methodology is proposed for obtaining a diagnosis objective; a crucial example is presented, relating to vibration signals of a gearbox. Results demonstrate the effectiveness of these features to detect spalling in gearbox.
References
[1] M. EI Badaoui, J. Antoni, F . Guillet, J. Danière, P. Velex. Use of the moving cepstrum integral to detect and localise tooth spalls in gears. Mechanical Systems and Signal Processing, 15(5): 873-885, September 2001.
[2] M. Basseville, I. Nikiforov. Detection of Abrupt Changes: Theory and Applications. Prentice Hall, 1993.
[3] D. Brillinger, M. Rosenblatt. Computation and Interpretation of k-th-order Spectra. Spectral analysis of Time series, B. Harris, ed. New York Wiley, 1967.
[4] C. Capdessus, M. Sidahmed and J.L. Lacoume. Cyclostationary Processes: Application in gear faults early diagnosis. Mechanical Systems and Signal Processing, 14(3): 371- 385, 2000.
[5] W.R Collis, J.K. Hammond. Bispectrum and trispectrum. Mechanical systems and signal processing (MSSP), 12(3): 375- 394, 1998.
[2] M. Basseville, I. Nikiforov. Detection of Abrupt Changes: Theory and Applications. Prentice Hall, 1993.
[3] D. Brillinger, M. Rosenblatt. Computation and Interpretation of k-th-order Spectra. Spectral analysis of Time series, B. Harris, ed. New York Wiley, 1967.
[4] C. Capdessus, M. Sidahmed and J.L. Lacoume. Cyclostationary Processes: Application in gear faults early diagnosis. Mechanical Systems and Signal Processing, 14(3): 371- 385, 2000.
[5] W.R Collis, J.K. Hammond. Bispectrum and trispectrum. Mechanical systems and signal processing (MSSP), 12(3): 375- 394, 1998.
Published
2022-11-30
Issue
pp. 223-230
Section
Articles
License
Copyright © The Author(s).
This work is licensed under the Creative Commons Attribution 4.0 International CC BY 4.0.
How to Cite
Raad, A., Antoni, J., & Sidahmed, M. (2022). Feature extraction using indicators of cyclostationarity for a mechanical diagnosis purpose. Computer Assisted Methods in Engineering and Science, 12(2-3), 223-230. https://cames3.ippt.pan.pl/index.php/cames/article/view/991
