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
 H. Sugimoto and K. Fukuda, "Abnormal noise detector for gear units", J.
Acoust. Soc. Am., vol.82, pp.1856, 1987.
 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.
 Munehiro Namba "On the quality inspection of motors by detecting
 S. Miyamoto, introduction to cluster analysis (Book style). Tokyo, CA:
Morikita, 1999, pp. 13-24.
 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.
 Simon Haykin, Neural networks (Book style). New Jersey, CA: Prentice
Hall, 1999, pp. 159-173.