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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Fault diagnosis of a vacuum cleaner motor by means of sound analysis. / Benko, U.; Petrovčič, J.; Juričić, D. et al.
In: Journal of Sound and Vibration, Vol. 276, No. 3-5, 22.09.2004, p. 781-806.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Benko, U, Petrovčič, J, Juričić, D, Tavčar, J, Rejec, J & Stefanovska, A 2004, 'Fault diagnosis of a vacuum cleaner motor by means of sound analysis', Journal of Sound and Vibration, vol. 276, no. 3-5, pp. 781-806. https://doi.org/10.1016/j.jsv.2003.08.041

APA

Benko, U., Petrovčič, J., Juričić, D., Tavčar, J., Rejec, J., & Stefanovska, A. (2004). Fault diagnosis of a vacuum cleaner motor by means of sound analysis. Journal of Sound and Vibration, 276(3-5), 781-806. https://doi.org/10.1016/j.jsv.2003.08.041

Vancouver

Benko U, Petrovčič J, Juričić D, Tavčar J, Rejec J, Stefanovska A. Fault diagnosis of a vacuum cleaner motor by means of sound analysis. Journal of Sound and Vibration. 2004 Sept 22;276(3-5):781-806. doi: 10.1016/j.jsv.2003.08.041

Author

Benko, U. ; Petrovčič, J. ; Juričić, D. et al. / Fault diagnosis of a vacuum cleaner motor by means of sound analysis. In: Journal of Sound and Vibration. 2004 ; Vol. 276, No. 3-5. pp. 781-806.

Bibtex

@article{967e55bdf897488ea83c8e1195b52c87,
title = "Fault diagnosis of a vacuum cleaner motor by means of sound analysis",
abstract = "Achieving high quality standards and 100% defect-free deliverables is becoming a trend among manufacturers of household appliances. In that respect, thorough and reliable end-tests represent an important step towards this goal. This paper deals with the design of end-test procedures for vacuum cleaner motors based on sound analysis. It is well known that sound carries important information about the condition of contact surfaces in rotating parts. The paper aims first to provide a thorough analysis of sound sources within the motor. Second, by using simple yet effective signal processing tools, it is shown that with sound analysis alone it is possible to clearly distinguish fault-free motors from those with mechanical faults. Moreover, the proposed algorithm exhibits a certain isolation capability, i.e., it is able to distinguish three clusters of faults. Finally, a summary of experimental results obtained on a sample of 75 motors is provided.",
author = "U. Benko and J. Petrov{\v c}i{\v c} and D. Juri{\v c}i{\'c} and J. Tav{\v c}ar and J. Rejec and A. Stefanovska",
year = "2004",
month = sep,
day = "22",
doi = "10.1016/j.jsv.2003.08.041",
language = "English",
volume = "276",
pages = "781--806",
journal = "Journal of Sound and Vibration",
issn = "0022-460X",
publisher = "Academic Press Inc.",
number = "3-5",

}

RIS

TY - JOUR

T1 - Fault diagnosis of a vacuum cleaner motor by means of sound analysis

AU - Benko, U.

AU - Petrovčič, J.

AU - Juričić, D.

AU - Tavčar, J.

AU - Rejec, J.

AU - Stefanovska, A.

PY - 2004/9/22

Y1 - 2004/9/22

N2 - Achieving high quality standards and 100% defect-free deliverables is becoming a trend among manufacturers of household appliances. In that respect, thorough and reliable end-tests represent an important step towards this goal. This paper deals with the design of end-test procedures for vacuum cleaner motors based on sound analysis. It is well known that sound carries important information about the condition of contact surfaces in rotating parts. The paper aims first to provide a thorough analysis of sound sources within the motor. Second, by using simple yet effective signal processing tools, it is shown that with sound analysis alone it is possible to clearly distinguish fault-free motors from those with mechanical faults. Moreover, the proposed algorithm exhibits a certain isolation capability, i.e., it is able to distinguish three clusters of faults. Finally, a summary of experimental results obtained on a sample of 75 motors is provided.

AB - Achieving high quality standards and 100% defect-free deliverables is becoming a trend among manufacturers of household appliances. In that respect, thorough and reliable end-tests represent an important step towards this goal. This paper deals with the design of end-test procedures for vacuum cleaner motors based on sound analysis. It is well known that sound carries important information about the condition of contact surfaces in rotating parts. The paper aims first to provide a thorough analysis of sound sources within the motor. Second, by using simple yet effective signal processing tools, it is shown that with sound analysis alone it is possible to clearly distinguish fault-free motors from those with mechanical faults. Moreover, the proposed algorithm exhibits a certain isolation capability, i.e., it is able to distinguish three clusters of faults. Finally, a summary of experimental results obtained on a sample of 75 motors is provided.

U2 - 10.1016/j.jsv.2003.08.041

DO - 10.1016/j.jsv.2003.08.041

M3 - Journal article

AN - SCOPUS:3242669899

VL - 276

SP - 781

EP - 806

JO - Journal of Sound and Vibration

JF - Journal of Sound and Vibration

SN - 0022-460X

IS - 3-5

ER -