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Methods to Assess Jolting and Jarring Events: A Surface Mining Case Study to Evaluate the Jolt-Duration Method

机译:评估颠簸和跳闸事件的方法:表面挖掘案例研究评估颠簸持续时间方法

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When operating a piece of heavy equipment, the equipment operator is exposed to Whole Body Vibration (WBV), with peaks in the acceleration called jolting and jarring. Various published consensus standards exist to analyze overall WBV, but a consensus standard does not exist for describing, detecting, and categorizing the jolting and jarring peaks. During previous research into methods of measuring jolting and jarring, a Root Mean Square (RMS) method was implemented and deployed in jolting and jarring event meters called Shox Boxes (invented by the National Institute for Occupational Safety and Health, NIOSH). The RMS assessment was difficult for end users of the Shox Boxes to utilize for describing and categorizing the peaks. This paper offers a hypothetical standard, the Jolt-Duration (JD) method, based on the simple amplitude and duration of the peaks, as well as the time between peaks. RMS methods, this JD method, and the classic Dynamic Response Index (DRI) method were tested and compared, utilizing data from a surface mining study and a NIOSH software program called Vibration and Acceleration Statistical Analysis (VASA).
机译:操作一块重型设备时,设备操作员暴露于全身振动(WBV),峰值称为搅拌和跳线。存在各种公布的共识标准来分析总体WBV,但不存在共识标准,用于描述,检测和分类颠簸和跳跃峰值。在以前的测量速降和跳闸方法的研究中,在称为Shox Boxes的Jolting和Jarring事件表中实施并部署了一种均方根(RMS)方法(由国家职业安全和健康研究所发明,Niosh)。 SHOX盒的最终用户难以利用用于描述和分类峰值的RMS评估。本文提供了一个假设的标准,基于峰值的简单幅度和持续时间以及峰之间的时间。 RMS方法,该JD方法和经典的动态响应指数(DRI)方法经过测试并比较,利用来自表面挖掘研究的数据和称为振动和加速统计分析(VASA)的Niosh软件程序。

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