An application of acoustic measurements to quality control of low power electrical motors

• Autorzy: Gibiec M.
• Języki publikacji: EN

Abstrakty

EN

In this article, an example of the application of acoustic measurements to condition assessment of electric machines is presented. Quality control of new components is considered in this case study. The first symptoms of unserviceability are disclose in the acoustic domain and then, in later exploitation, they develop into a form that is detectable during vibration measurements. The assessment is based on acoustical wave spectrum normalized with respect to rotational speed. An adequately prepared neural network of the Kohonen's type was used as assessing tool. Its performance was compared to results of the minimum distance method based on averaged spectrum patterns.

Słowa kluczowe

EN

machine state assessment; acoustic signals; neural networks

• Wydawca: Instytut Podstawowych Problemów Techniki PAN ; Komitet Akustyki PAN ; Polskie Towarzystwo Akustyczne
• Czasopismo: Archives of Acoustics
• Rocznik: 2006
• Tom: Vol. 31, No. 4
• Strony: 521--528
• Opis fizyczny: Bibliogr. 11 poz.

Twórcy

autor

Gibiec M.

• AGH University of Science and Technology, Department of Robotics and Mechatronics, Al. Mickiewicza 30, 30-059 Kraków, Poland,

Bibliografia

• [1] GIBIEC M., Soft computing tools for machine diagnosing, Journal of Theoretical and Applied Mechanics, 42, 3, 483.501, 2004.
• [2] GIBIEC M., DOSKOWSKI G., UHL T., Kohonen neural networks utilisation to aid diagnostic process, AI-METH, Gliwice 2002.
• [3] KOHONEN T., The self-organizing map, Springer, Berlin Heidelberg 1995.
• [4] TEAC DF-S3 user's manual. Teac Corp., Tokyo 2003
• [5] ŻYSZKOWSKI Z., Acoustic Measurement [in Polish], WNT, Warszawa 1987.
• [6] DUCH W., KORBICZ J., RUTKOWSKI L., TADEUSIEWICZ R., Biocybernetyka i inżynieria biomedyczna 2000. Tom 6: Sieci neuronowe, Akademicka Oficyna Wydawnicza EXIT, Warszawa 2000.
• [7] IKONOMOPOULOS A., UHRIG R. E., TSOUKALAS T. H., Use of neural networks to monitor power plants components, Proc. of the 54th American Power Conference, Chicago, IL, April 1, 1992.
• [8] KORBICZ J., UCIŃSKI A., OBUCHOWICZ D., Sztuczne sieci neuronowe podstawy i zastosowania, Akademicka Oficyna Wydawnicza, Warszawa 1994.
• [9] MORZYŃSKI L., MAKAREWICZ G., System aktywnej redukcji hałasu z zastosowaniem sztucznych sieci neuronowych, Materiały V Szkoły Metody Aktywne Redukcji Drgań i Hałasu, pp. 219.224, 2001.
• [10] SORSA T., KOIVO H. N., KOIVISTO H., Neural networks in process fault diagnosis, IEEE Trans. Systems, Man and Cybernetics, v. SMC-21, 4, 1991.
• [11] TADEUSIEWICZ R., Sieci neuronowe, Akademicka Oficyna Wydawnicza, Warszawa 1993.