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出 处:《计量与测试技术》2018年第2期1-4,7,共5页Metrology & Measurement Technique
基 金:广州供电局有限公司科技项目“基于岭南气候条件的电子式电能表质量研究(080036KK52150005);2017浙江省科技计划公益项目“面向电能表智能制造的PCB集成化RFID研发”(2017C31021)
摘 要:借助控制图对电子式电能表检定装置进行测量系统分析(MSA)稳定性分析的前提是检定装置的误差测量数据服从正态分布。本文针对电能表检定装置特定条件下(非轻载)误差测量数据不能顺利通过正态性检验的原因进行了原理性分析,发现其误差数据取值范围过窄且数据间隔过大,导致其不适用于基于连续性变量的计量型控制图进行测量系统稳定性分析。本文在不损失原有数据信息的条件下提出了一种通用的数据取整处理方法,并借助计数型控制图中的C控制图完成对测量系统稳定性的分析。经实例验证,该方法具有良好的可行性,对基于相对误差计算的测量系统的稳定性分析具有一定的借鉴价值。The premise of stability analysis of measurement system analysis (MSA) for electronic energy meter veri- fication device by means of control chart is that the measurement data errors of the verification device obey the nor- mal distribution. In this thesis, we theoritically analyzed the reasons for measurement error data of electric energy meter verification device not passing normality test under certain conditions ( non - light - load) , and found that the error data range is too narrow and with too large data interval, that it is not suitable to measurement system stability analysis which is based on the metrological control chart of continuous variables. In this thesis, we proposed a uni- versal data rounding method without losing the original data information, and by using C control chart of counting control charts, to conduct measurement system stability analysis. The practical results show that this method is fea- sible and has certain reference value for stability analysis of measurement system based on relative error calculation.
分 类 号:TM933.4[电气工程—电力电子与电力传动]
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