Detecting and quantifying friction nonlinearity using the Hilbert transform

M. A. Minnicino; H. J. Sommer

doi:10.1117/12.539953

Detecting and quantifying friction nonlinearity using the Hilbert transform

M. A. Minnicino, H. J. Sommer

Mechanical Engineering

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

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 Hubert transform was tested for detection and quantification of Coulomb friction in both systems.

Original language	English (US)
Pages (from-to)	419-427
Number of pages	9
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5394
DOIs	https://doi.org/10.1117/12.539953
State	Published - 2004
Event	Health Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems III - San Diego, CA, United States Duration: Mar 15 2004 → Mar 17 2004

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.539953

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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 Hubert transform was tested for detection and quantification of Coulomb friction in both systems.",

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AU - Sommer, H. J.

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AB - 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 Hubert transform was tested for detection and quantification of Coulomb friction in both systems.

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JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

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ER -

Detecting and quantifying friction nonlinearity using the Hilbert transform

Abstract

All Science Journal Classification (ASJC) codes

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