Abstract
In this paper, we propose a method to analyze the vibration influence for a wrist by Motor Operated Electric Tools (MOETs) using the Self-Organizing features Map (SOM). We measure twenty-seven data to evaluate the vibration in the wrist for three kinds of MOETs. In recent years, the International Organization for Standardization (ISO) has suggested the sensitivity values of vibration for wrists. We develop a new classification method using the spectrum being adjusted by this sensitivity effects based on the SOM. The classification method shows the effectiveness for classification of various types of MOETs, which are suitable for operators from viewpoints of human effects of the vibrations.
