Detecting and quantifying friction nonlinearity using the Hilbert transform

M. A. Minnicino, Henry Joseph Sommer, III

Research output: Contribution to journalConference article

2 Citations (Scopus)

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 languageEnglish (US)
Pages (from-to)419-427
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume5394
DOIs
StatePublished - Oct 25 2004
EventHealth Monitoring and Smart Nondestructive Evaluation of Structural and Biological Systems III - San Diego, CA, United States
Duration: Mar 15 2004Mar 17 2004

Fingerprint

Hilbert Transform
Friction
friction
nonlinearity
Nonlinearity
Coulomb Friction
Quantification
Motion
Industrial robots
Condition-based Maintenance
robots
actuation
Industrial Robot
maintenance
Nonlinear Effects
methodology
Excitation
Transform
Internal
excitation

All Science Journal Classification (ASJC) codes

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

Cite this

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Detecting and quantifying friction nonlinearity using the Hilbert transform. / Minnicino, M. A.; Sommer, III, Henry Joseph.

In: Proceedings of SPIE - The International Society for Optical Engineering, Vol. 5394, 25.10.2004, p. 419-427.

Research output: Contribution to journalConference article

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