A Method for Quality Inspection of Motors by Detecting Abnormal Sound
نویسنده
چکیده
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
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تاریخ انتشار 2012