Predicting whole-body vibration (WBV) exposure of Malaysian Army three-tonne truck drivers using Integrated Kurtosis-Based Algorithm for Z-Notch Filter Technique 3D (I-kaz 3D)
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- 作者：Shamsul Akmar Ab Aziza ; b ; shamsulakm@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Mohd Zaki Nuawia ; Mohd Jailani Mohd Nora
- 关键词：Whole-body vibration (WBV) ; Malaysian Army (MA) three-tonne trucks ; Integrated Kurtosis-Based Algorithm for Z-Notch Filter Technique 3D (I-kaz 3D) ; Vibration dose values (VDV) ; Regression models
- 刊名：International Journal of Industrial Ergonomics
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：52
- 期：Complete
- 页码：59-68
- 全文大小：907 K
文摘
- •
I-kaz 3D is developed to monitor whole-body vibration (WBV) in the driver's seat.
- •
I-kaz 3D coefficient
is generated to represent WBV from the driver's seat.- •
The dirt road with a rough surface has a higher value of IRIavg than the tarmac road with a soft surface.
- •
The developed models for
and VDV(8) have high R2 value for both types of roads.- •
Predicted WBV exposures generated by the regression models were close to the measured WBV exposures.