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Time dependent performance of turbine gas meters

机译:涡轮机液计的时间依赖性

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Gastransport Services in the Netherlands, uses turbine gas meters to measure the gas flow to local gas distribution companies, large industrial customers and power plants GTS operates approximately 1100 city gate stations, at a delivery pressure of usually 8 bar. In the Netherlands, the procedures for determining the operational performance of the turbine meters are agreed upon between Gastransport Services and its customers. As a result of this agreement, Gastransport Services inspects the total population of turbine meters by means of the well-known variables-acceptance-sampling. Each year, 60 turbine meters are selected randomly from the total population. Subsequently, the selected turbine meters are calibrated traceable to international standards by Netherlands Measurment Institute (NMi). The information from these recalibrations is used to study the stability of the turbine meters. Because, through the years a lot of information has been gathered on the turbine meters performance, the presence of statistically significant relationships (correlation) between the performance in time of the meters on the one hand and properties like the construction year, the pressure class, the size, the maximum allowable flow rate and/or the recalibration period of the meter on the other hand, can be investigated. In this presentation, analysis -of-variance and the quadrant-correlation-test are used to test for the presence of such correlations. The aforementioned five properties were analysed for the presence of correlation at two different calibration pressures and with different definitions of drift to express the performance in time of gas turbine meters. For a specific calibration pressure and a specific type of drift, the performance in time dependents on the recalibration period and the size of the turbine meter. Furthermore, the correlation analysis, showed that a turbine gas meter seems to reach a steady state in time, expressed in terms of shift of the weighted mean error.
机译:荷兰的Gastransport服务,使用涡轮机煤气表来测量局部天然气分销公司的气体流量,大型工业客户和发电厂GTS经营大约1100个城门门台,在通常8巴的输送压力下。在荷兰,确定涡轮机仪表运营表现的程序均同意Gastransport服务及其客户之间。由于本协议,Gastransport服务通过众所周知的变量验收取样检查涡轮仪表总人口。每年,从总人口中随机选择60个涡轮米。随后,所选择的涡轮仪表被荷兰衡量研究所(NMI)追溯到国际标准。这些重新校准的信息用于研究涡轮机仪表的稳定性。因为,通过多年来,已经收集了涡轮仪表性能的大量信息,存在统计上显着的关系(相关性)在米的时间性之间的性能与施工年的一方面,压力等级,另一方面,可以研究仪表的尺寸,最大允许的流速和/或仪表的重新校准周期。在本介绍中,使用分析 - 方差和象限相关 - 测试用于测试这种相关性。分析上述五种性质以在两个不同的校准压力下存在相关性,并且具有不同的漂移定义,以表达燃气轮机计时的时间性能。对于特定的校准压力和特定类型的漂移,在校正周期和涡轮仪表的尺寸上的时间性能。此外,相关性分析表明涡轮气体表似乎达到稳态及时,以加权平均误差的偏移而表示。

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