Abstract
We propose a method of evaluating the vibration of motor-operated electric tools (MOETs) by using a self-organizing feature map (SOM). The vibration spectrum is used to evaluate the MOET vibration. These vibration spectra are derived from 18 vibration data obtained by measurements on three different positions of a MOET. The spectra are then sent to the SOM network for the calculations. The vibration spectra are classified by the SOM, and calculations give the Euclidean distance from the weight vector in order to develop a quantitative evaluation. A statistic analysis of the Euclidean distance allows a quantitative evaluation of a MOET with respect to vibration stress and other relevant parameters.
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This work was presented, in part, at the 9th International Symposium on Artificial Life and Robotics, Oita, Japan, January 28–30, 2004
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Kamimoto, N., Yamada, Y., Kitamura, M. et al. Evaluation of vibration in many positions by SOM. Artif Life Robotics 9, 7–11 (2005). https://doi.org/10.1007/s10015-004-0318-4
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DOI: https://doi.org/10.1007/s10015-004-0318-4