Detecting and quantifying friction nonlinearity using the Hilbert transform

Proceedings of SPIE - The International Society for Optical Engineering

Volumn 5394, Issue , 2004, Pages 419-427

  Minnicino II, M A ^a   Sommer III, H J ^b  

^a SCIENCE APPLICATIONS INTERNATIONAL CORPORATION   (United States)

^b The Pennsylvania State University   (United States)

Author keywords

Condition based maintenance; Coulomb friction; Hilbert transform

Indexed keywords

CONDITION BASED MAINTENANCE; COULOMB FRICTION; HILBERT TRANSFORMS;

ACCELEROMETERS; DEGREES OF FREEDOM (MECHANICS); MATHEMATICAL TRANSFORMATIONS; NONLINEAR SYSTEMS; SIGNAL PROCESSING; VECTORS;

INDUSTRIAL ROBOTS;

EID: 5444254964     PISSN: 0277786X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1117/12.539953     Document Type: Conference Paper

References (6)

1. Tomlinson, G.R., "Developments in the Use of the Hilbert Transform for Detecting and Quantifying Non-Linearity Associated with Frequency Response Functions," Mechanical Systems and Signal Processing, Vol 1, No. 2, 1987, pp 151-171.
2. Bendat, Julius S. and Piersol, Allan G., Random Data: Analysis and Measurement Procedures, New York, NY: John Wiley & Sons, Inc, 2000.
3. Signal Processing Toolbox Electronic Manual, The MathWorks Inc, Matlab 5.3, 2001.
4. Stauffer, Jonah J., Validation of a Handheld Friction Tester, Masters Thesis, Department of Mechanical and Nuclear Engineering, Pennsylvania State University, 2001.
5. Kao, C., Identification of Dynamic Nonlinearities in Robots for Predictive Maintenance, Ph.D Thesis, Department of Mechanical Engineering, Pennsylvania State University, 1995.
6. Chien, C., Use of the Hilbert Transform for Detecting Coulomb Friction, Masters Thesis, Department of Mechanical Engineering, Pennsylvania State University, 1997.