Non-linear signal analysis applied to surface wear condition monitoring in reciprocating sliding testing machines

Shock and Vibration

Volumn 13, Issue 4-5, 2006, Pages 327-341

  Neto, Francisco Paulo Lépore ^a   De Mello, José Daniel Biasoli ^a   Santos, Marcelo Braga ^a  

^a FEDERAL UNIVERSITY OF UBERLÂNDIA   (Brazil)

Author keywords

Friction force identification; Non linear signal analysis; Vibration; Wear

Indexed keywords

ACCELEROMETERS; CONDITION MONITORING; LASER DOPPLER VELOCIMETERS; MICROCOMPUTERS; NONLINEAR SYSTEMS; PIEZOELECTRIC DEVICES; SURFACE PHENOMENA; TRIBOLOGY; VIBRATIONS (MECHANICAL); WEAR OF MATERIALS;

ELASTIC BODIES; FRICTION FORCE; FRICTION FORCE IDENTIFICATION; NON-LINEAR SIGNAL ANALYSIS;

SIGNAL PROCESSING;

EID: 33746378634     PISSN: 10709622     EISSN: None     Source Type: Journal    
DOI: 10.1155/2006/938951     Document Type: Conference Paper

References (6)

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2. J.S. Bendat, Nonlinear Systems Techniques and Applications, John Wiley and Sons Inc., New York, 1997.
3. I.M. Hutchings, Tribology Friction and Wear of Engineering Materials, CRC Press Inc., Boca Raton, USA, 273.
4. F.P. Lépore Neto, J.D.B. Mello and M.B. Santos, Correlação entre a força de atrito obtida através de análise de sinais não linear e o desgaste em um tribômetro do tipo alternativo, In: 59 Annual Congress - ABM International, 2004, São Paulo. 59 Annual Congress - International. São Paulo, ABM Brasil, 2004. 4434-4443.
5. S.L.R.H. Nowotny and S.F. Wayne, The role of specimen stiffness in sliding and impact wear, Wear 77(1,15) (March 1982), 13-28.
6. J.A. Williams, Engineering Tribology, Oxford University Press, UK.