Fault diagnosis of a vacuum cleaner motor by means of sound analysis

Journal of Sound and Vibration

Volumn 276, Issue 3-5, 2004, Pages 781-806

  Benko, U ^a   Petrovcic J ^a   Juricic D ^a   Tavcar J ^c   Rejec, J ^c   Stefanovska, A ^b  

^a JO EF STEFAN INSTITUTE   (Slovenia)

^b UNIVERSITY OF LJUBLJANA   (Slovenia)

^c Domel dd   (Slovenia)

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC EMISSION TESTING; ALGORITHMS; ELECTRIC FAULT LOCATION; QUALITY ASSURANCE; SIGNAL PROCESSING; STANDARDS; VACUUM CLEANERS;

CONTACT SURFACES; FAULT DIAGNOSIS; SOUND ANALYSIS;

ACOUSTIC WAVES;

EID: 3242669899     PISSN: 0022460X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jsv.2003.08.041     Document Type: Article

References (22)

1. D.M. Yang, J. Penman, Intelligent detection of induction motor bearing faults using current and vibration monitoring, Proceedings of the 13th International Congress on Condition Monitoring and Diagnostic Engineering Management, 2000, pp. 461-470.
2. K. Röpke, D. Filbert, Unsupervised classification of universal motors using modern clustering algorithms, Proceedings of the SAFEPROCESS 1994, Espoo, Vol. 2, 1994, pp. 720-725.
3. D. Filbert, C. Gühmann, Fault diagnosis of electric low-power motors by analysing the current signal, Proceedings of the SAFEPROCESS 1991, Baden-Baden, Vol. 1, 1991, pp. 67-72.
4. Filbert D. Fault-diagnosis in nonlinear electromechanical systems by continuous-time parameter-estimation. ISA Transactions. 24(3):1985;23-27.
5. Isermann R. Fault-diagnosis of machines via parameter-estimation and knowledge processing - tutorial paper. Automatica. 29(4):1993;815-835.
6. Th. Vetter, H. Weber, J. Grossehelweg, Vollautomatische Fehlerdiagnose in der Serienfretigung von Elektromotoren, VDI-Tagung: Überwachtung und Fehlerdiagnose, Darmstadt, 1994.
7. Juričić D., Moseler O., Rakar A. Model-based condition monitoring of an actuator system driven by a brushless dc motor. Control Engineering Practice. 9:2001;545-554.
8. S. Nandi, H.A. Toliyat, Fault diagnosis of electrical machines - a review, Proceedings of the IEEE-IEMDC Conference, Seattle, WA, 1999.
9. R.B. Randall, State of the art in monitoring rotating machinery, Proceedings of ISMA 2002, Vol. 4, 2002, pp. 1457-1477.
10. A.V. Barkov, N.A. Barkova, The Artificial Intelligence Systems for Machine Condition Monitoring and Diagnostic by Vibration, acquired March 15, 2002, www.vibrotek.com/articles/intelect-eng/index.htm.
11. Peng Z., Chu F., He Y. Vibration signal analysis and feature extraction based on reassigned wavelet scalogram. Journal of Sound and Vibration. 253(5):2002;1087-1100.
12. C. Schenck, Testing and Diagnostic Systems for Vacuum Cleaner Blower, acquired October 5, 2002, www.Schenck.net.
13. E. Albas, T. Durakbasa, D. Eroglu, Application of a new fault detection technology for quality improvement of appliance motors, acquired November 10, 2002, www.artesis.com/ Products/Mqm/ iatc_2000_artesis_paper.pdf.
14. Randall R.B. Frequency Analysis. 3rd Edition:1987;Brüel & Kjaer, Copenhagen.
15. Ramirez R.W. The FFT. Fundamentals and Concepts:1985;Prentice-Hall, Englewood Cliffs, NJ.
16. Boashash B. Estimating and interpreting the instantaneous frequency - Part 1. fundamentals Proceedings of the IEEE. 80(4):1992;520-538.
17. Hildebrand F.B. Advanced Calculus for Engineers. 1949;Prentice-Hall, Englewood cliffs, NJ.
18. Kreyszig E. Advanced Engineering Mathematics. 8th Edition:1999;Wiley, New York.
19. Barron R. Engineering Condition Monitoring, Practice, Methods and Applications. 1996;Longman, New York.
20. Smets P., Kennes R. The transferable belief model. Artificial Intelligence. 66:1994;191-234.
21. Y. Peng, P. Arte, R. Hanus, Quantitative model-based fault diagnosis using belief functions, Prepr. CESA'96 IMACS Multi-Conference, Lille, Vol. 1, 1996, pp. 528-532.
22. Rakar A., Juričić D., Ballé P. Transferable belief model in fault diagnosis. Engineering Applications of Artificial Intelligence. 12:1999;555-567.