Application of higher-order statistics on rolling element bearings diagnosis

Innovative Algorithms and Techniques in Automation, Industrial Electronics and Telecommunications

Volumn , Issue , 2007, Pages 145-148

  Hernandez F E ^a   Caveda, O ^a   Atxa, V ^b   Altuna, J ^b  

^a UNIVERSIDAD DE PINAR DEL RÍO   (Cuba)

^b MONDRAGON UNIVERSITY   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

HIGHER ORDER STATISTICS; INDUSTRIAL ELECTRONICS; STATISTICAL MECHANICS; TELLURIUM COMPOUNDS;

BISPECTRUM; LOCAL FAULTS; ROLLING ELEMENT BEARING; STATISTICAL TOOLS;

ROLLER BEARINGS;

EID: 77649170776     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-1-4020-6266-7_27     Document Type: Conference Paper

References (9)

1. F.E. Hernández, "Aplicación del procesamiento cicloestacionario de vibraciones, avanzado y de segundo orden, a la detección de fallos locales en cojinetes de rodamientos, " PhD dissertation presented at the Mechanic Department, Instituto Superior Politécnico José Antonio Echeverría, La Habana, Cuba, january 2006.
2. A.C McCormick, "Cyclostationary and higher-order statistical signal processing algorithms for machine condition monitoring, " dissertation presented at Department of EEE, University of Strathclyde, United Kingdom, September 1998.
3. J. Piñeyro, A. Klempnow, and J. Lescano, "Effectiveness of new spectral tools in the anormaly detection of rolling element bearings, " Journal of Alloys and Components, vol. 310, pp. 276-279, 2000).
4. F.E. Hernández, and V. Atxa, "Diagnóstico de maquinarias a partir del análisis de vibraciones, " VI Seminario Anual de Automática, Electrónica Industrial e Instrumentación, Vigo, Spain, September 2003.
5. A. Papoulis, Probability, random variables, and stochastic processes, 3rd ed., McGraw-Hill, Inc., 1991, pp. 109-119.
6. B. Boashash, E.J. Powers, and A.M. Zoubir, Higherorder statistical signal processing, Longman House, Melbourne, Australia, 1995.
7. R.B. Randall, J. Antoni, and S. Chobsaard, "The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals, " Mechanical Systems and Signal Processing, vol. 15, pp. 945-962, 2001.
8. N. Tandon, and B.C. Nakra, "Vibration and acoustic monitoring techniques for the detection of defects in rolling element bearings. A review, " The Shock and Vibration Digest, vol. 3, pp. 3-11, 1992.
9. R.B. Randall, "State of the art in monitoring rotating machinery, " International Conference on Noise and Vibration Engineering, Belgium, September 2002.