A Method for Quality Inspection of Motors by Detecting Abnormal Sound
Recently, a quality of motors is inspected by human
ears. In this paper, I propose two systems using a method of speech
recognition for automation of the inspection. The first system is based
on a method of linear processing which uses K-means and Nearest
Neighbor method, and the second is based on a method of non-linear
processing which uses neural networks. I used motor sounds in these
systems, and I successfully recognize 86.67% of motor sounds in the
linear processing system and 97.78% in the non-linear processing
system.
[1] H. Sugimoto and K. Fukuda, "Abnormal noise detector for gear units", J.
Acoust. Soc. Am., vol.82, pp.1856, 1987.
[2] Z.Zhang and H.Kawabata, "Study of Detection Method of Abnormal
Sound Using Cellular Neural Network", Trans. J. Soc. of Mechanical
Engineers. C, vol. 69, no. 668, pp. 3207-3214, 2003.
[3] Munehiro Namba "On the quality inspection of motors by detecting
abnormal noise".
[4] S. Miyamoto, introduction to cluster analysis (Book style). Tokyo, CA:
Morikita, 1999, pp. 13-24.
[5] G. F. Page, J. B. Gomm and D. Williams, Application of neural networks
to modeling and control (Book style). London, CA: CHAPMAN &
HALL, 1993, pp.9-23.
[6] Simon Haykin, Neural networks (Book style). New Jersey, CA: Prentice
Hall, 1999, pp. 159-173.
[1] H. Sugimoto and K. Fukuda, "Abnormal noise detector for gear units", J.
Acoust. Soc. Am., vol.82, pp.1856, 1987.
[2] Z.Zhang and H.Kawabata, "Study of Detection Method of Abnormal
Sound Using Cellular Neural Network", Trans. J. Soc. of Mechanical
Engineers. C, vol. 69, no. 668, pp. 3207-3214, 2003.
[3] Munehiro Namba "On the quality inspection of motors by detecting
abnormal noise".
[4] S. Miyamoto, introduction to cluster analysis (Book style). Tokyo, CA:
Morikita, 1999, pp. 13-24.
[5] G. F. Page, J. B. Gomm and D. Williams, Application of neural networks
to modeling and control (Book style). London, CA: CHAPMAN &
HALL, 1993, pp.9-23.
[6] Simon Haykin, Neural networks (Book style). New Jersey, CA: Prentice
Hall, 1999, pp. 159-173.
@article{"International Journal of Mechanical, Industrial and Aerospace Sciences:49542", author = "Tadatsugu Kitamoto", title = "A Method for Quality Inspection of Motors by Detecting Abnormal Sound", abstract = "Recently, a quality of motors is inspected by human
ears. In this paper, I propose two systems using a method of speech
recognition for automation of the inspection. The first system is based
on a method of linear processing which uses K-means and Nearest
Neighbor method, and the second is based on a method of non-linear
processing which uses neural networks. I used motor sounds in these
systems, and I successfully recognize 86.67% of motor sounds in the
linear processing system and 97.78% in the non-linear processing
system.", keywords = "Acoustical diagnosis, Neural networks, K-means,
Short-time Fourier transformation", volume = "1", number = "11", pages = "617-4", }