Using GPS to Identify Whole-Body Vibration Exposures When Operating Mine/Quarry Haul Trucks
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2017/06/08
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Description:Miller et al. (2004, 2000) reported on investigations to monitor and minimize haul truck driver exposures for jarring/jolting (mechanical shock) using GPS data. Their work led to the development of a black box called a "Shox Box" installed on equipment that already had a GPS system onboard. This device with accompanying software provided a means for objectively assessing jarring/jolting and a means for determining its root cause. Mayton et al. (2014) reported on whole-body vibration (WBV) exposures and influencing factors for quarry haul truck drivers and loader operators and looked at WBV exposure while traveling with and without a load of material between loading and dumping areas of two quarries. They noted that WBV, measured at the cab floor/frame and at the driver/seat interface, was significantly lower for the loaded compared to the unloaded condition. In the light of these investigations, researchers more recently examined WBV relative to four haul truck activities including dumping, loading, and traveling with and without a load. One objective was to see how haul truck WBV exposure related to a particular activity and whether one or more of the activities posed a greater exposure than the others. [Description provided by NIOSH]
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Pages in Document:78-79
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NIOSHTIC Number:nn:20050240
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Citation:Proceedings of the Sixth American Conference on Human Vibration, June 8-10, 2017, Milwaukee, Wisconsin. Milwaukee, WI: Marquette University, 2017 Jun; :78-79
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Contact Point Address:Alan G. Mayton, National Institute for Occupational Safety and Health, Pittsburgh Mining Research Division, Pittsburgh, PA 15236, USA
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Federal Fiscal Year:2017
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Peer Reviewed:False
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Source Full Name:Proceedings of the Sixth American Conference on Human Vibration, June 8-10, 2017, Milwaukee, Wisconsin
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Main Document Checksum:urn:sha-512:b1aae029301cb822a217c9ca885c053109c30e2014db51c3c5ccf849298d1ed9b7e8947503fdc0bd16d89dc211d652011a334a0abb460e364236583e857801c0
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