Prediction head acceleration from hand and seat vibration via artificial neural network model
Transmitted vibration from hand to the human body is one of the oscillation sources which are a reason of pain in shoulders, neck and arms. Design vibration isolators or seat suspensions require an accurate biodynamic model which can consider both vibration sources; hand and seat. For this purpose,...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
2014
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/54557/ http://dx.doi.org/10.4028/www.scientific.net/AMM.471.161 |
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| Summary: | Transmitted vibration from hand to the human body is one of the oscillation sources which are a reason of pain in shoulders, neck and arms. Design vibration isolators or seat suspensions require an accurate biodynamic model which can consider both vibration sources; hand and seat. For this purpose, an artificial neural network model was established which is able predict head acceleration from hand and seat excitation. Average of error in signal prediction in this model is around 3.5%, and this issue made appropriate this biodynamic model to use in the next studies especially for suspension designs. |
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