Detecting and quantifying friction nonlinearity using the Hilbert transform

Michael A. Minnicino II; Henry J. Sommer III

doi:10.1117/12.539953

21 July 2004 Detecting and quantifying friction nonlinearity using the Hilbert transform

Michael A. Minnicino II, Henry J. Sommer III

Proceedings Volume 5394, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems III; (2004) https://doi.org/10.1117/12.539953
Event: NDE for Health Monitoring and Diagnostics, 2004, San Diego, CA, United States

Abstract

A simple methodology for identification and quantification of nonlinear effects such as Coulomb friction and backlash is desired for use in condition based maintenance programs for both structural and machine based applications. Typically, structural applications are passive and undergo small vibratory motion when an external excitation is presented to the system. A spring-mass system was used as the structural example. Machine applications are typically active and motion is excited by internal actuation of large motion within the system. An industrial SCARA robot was used as the machine based example. The Hilbert transform was tested for detection and quantification of Coulomb friction in both systems.

Citation Download Citation

Michael A. Minnicino II and Henry J. Sommer III "Detecting and quantifying friction nonlinearity using the Hilbert transform", Proc. SPIE 5394, Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems III, (21 July 2004); https://doi.org/10.1117/12.539953

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