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安全壳泄漏率计算过程中,最重要的环节是以不同时刻测量数据对时间进行线性回归分析。对回归的显著性检验以及方差分析是评价试验结果有效性的重要手段。本文基于统计软件R对某电厂调试阶段安全壳泄漏率试验的数据进行分析,通过对线性回归模型的独立性、正态性和异方差性检验以及极端样本点的剔除等方式,探讨泄漏率计算前的回归诊断对计算结果可靠性的影响。通过回归诊断的实例分析发现,在安全壳泄漏率计算的数据样本中,可能存在自相关、非正态和异方差性等问题影响回归结果,进而影响泄漏率的最终结果。因此,在计算泄漏率结果时,须通过回归诊断方法评价数据的有效性,对不能通过检验的样本应通过适当方法对最终结果进行修正。 相似文献
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The most important part in the calculation of the containment leakage is to perform the linear regression on time for a series of data measured at different times. The significance test of the regression and residual analysis are the substantial means to evaluate the test results. This paper analyzes the data of the containment test during the commissioning and startup phase of a power plant based on the statistical software R, and explores the regression diagnosis before the leakage calculation by examining the independence, normality and heteroscedasticity of the regression model and the elimination of extreme sample points impact on the reliability of the result. Through the regression diagnosis on the examples, it was found that in the samples which leakage rate is calculated, there may be problems that affect the regression results and then the affect the final results, such as autocorrelation, non-normality and heteroscedasticity. Therefore, the validity of the data shall be evaluated by the regression diagnostic methods, while calculating the leakage rate, and the final results shall be corrected by appropriate methods for samples that fail the test. 相似文献
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