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出 处:《计算机与应用化学》2010年第11期1550-1552,共3页Computers and Applied Chemistry
基 金:重质油国家重点实验室开放课题基金资助;青岛科技大学科研启动基金资助
摘 要:准确可靠的测量数据是工业过程优化和控制的重要前提,实际过程中由于过失误差的存在导致测量数据不准确,而传统的过失误差侦破方法常会出现过失误差分摊到其他测量数据上的现象。本文在研究广义似然比法(GLR法)过失误差侦破的原理及步骤的基础上,对GLR法的检验统计量进行改进,提出了2个变量同步侦破补偿的两两同步侦破法,即每次同时用2个变量计算检验统计量,并对相对调节量大的测量数据进行补偿。两两同步侦破法与GLR法的实例考核结果表明,在相同显著性水平下,两两同步侦破法的总体检验能力和选择性比GLR法高,且犯第1类错误的概率比GLR法小。因此新方法提高了过失误差侦破率,降低了犯第1类错误的概率,能有效地对过失误差进行侦破和识别,且同步补偿后得到的补偿值更准确,有利于获得较为准确的过程数据。The accuracy and reliability of measurement data is the important precondition of process control and optimization in the industry.However,the measurement data could not be calculated accurately because of the existence of gross errors in the practical process.The traditional methods of gross error detection could often transmit errors from one measurement data to another.Based on the principle and procedure of the generalized likelihood ratio(GLR)test method,through recomposing the test statistics,a modified method called the pairwise synchronous detection method was proposed to identify gross errors with simultaneous compensation.By the means of the modified method,the test statistics of measurements data are computed for each two variables,and the variable with greater relative reconciliation value is compensated.A simulation example was presented to compare the performance of the modified method and the GLR test method.The calculation results show that on the same level of significance,the pairwise synchronous detection method has higher value of overall power and expected fraction of correct identification,but the lower value of average number of type I error than the GLR method.Therefore,the new method could improve the gross error detection rate and decrease the probability of type I error effectively.What's more,it could give more accurate compensation value for the measurements.
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