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Mathematical moisture compensation of precision measuring instruments

机译:精密测量仪器的数学水分补偿

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A development trend to reduce the measuring uncertainty of precision measuring instruments is the minimization of the cross-sensitivity of the measuring instruments to disturbance variables. In general, the disturbance quantities include all influence factors acting on the measuring instrument except for the actual measuring quantity itself. An essential role is played by the three climatic quantities 'temperature', 'air humidity' and 'atmospheric pressure'. The state-of-the-art implies that many of today's precision measuring instruments are equipped with an effective disturbance suppression. However, particularly the reduction of moisture dependence offers a high potential for a further lowering of the measuring uncertainty. To achieve this, there are two different approaches available: 1. minimizing the moisture transport responsible for the moisture dependence, or 2. compensating mathematically for the effects of the changes in moisture on the measuring result on the basis of the knowledge of moisture dependence.
机译:减小精密测量仪器的测量不确定度的发展趋势是使测量仪器对干扰变量的交叉敏感性最小化。通常,干扰量包括作用在测量仪器上的所有影响因素,实际测量量本身除外。 “温度”,“空气湿度”和“大气压”这三个气候量起着至关重要的作用。最新技术意味着当今许多精密测量仪器都配备了有效的干扰抑制功能。但是,特别是降低对水分的依赖性为进一步降低测量不确定度提供了高潜力。为此,有两种不同的方法可用:1.最小化导致水分依赖性的水分传输,或2.基于对水分依赖性的了解,对水分变化对测量结果的影响进行数学补偿。

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