This paper presents a new, structural dynamics-based wavelet transformation technique for bearing defect detection. Specifically, a customized wavelet was developed analytically, using the scaling function derived from the actual impulse response of a ball bearing. Experiments under various loading conditions have confirmed that the customized wavelet provides a better match to the defect-induced signals of the bearing than a standard wavelet commonly used in the literature and is, thus, more effective in detecting bearing structural defects.
Customized Wavelet for Bearing Defect Detection
Contributed by the Dynamic Systems, Measurement, and Control Division of THE AMERICAN SOCIETY OF MECHANICAL ENGINEERS for publication in the ASME JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received by the ASME Dynamic Systems and Control Division February 24, 2003; final revision, November 14, 2003. Review conducted by: F. Ghorbel.
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Holm-Hansen , B. T., Gao, R. X., and Zhang, L. (March 11, 2005). "Customized Wavelet for Bearing Defect Detection ." ASME. J. Dyn. Sys., Meas., Control. December 2004; 126(4): 740–745. https://doi.org/10.1115/1.1850534
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