摘要
针对实际数据校正问题中同时含有未测变量和带大误差的已测变量的情况，提出利用两步投影矩阵方法来进行数据分类，先将稳态模型变换为统计检验所需要的标准形式（只含已测变量），用广义似然比方法侦破出大误差并予以补偿后再对数据校正问题进行求解计算，从而为数据校正及大误差侦破的集成提出了一种通用的策略，并且减少了计算量。
According to the fact that the unmeasured variables and the measured variables with gross errors sometimes simultaneously exist in the steady state process, this paper presents a procedure, in which the variables are classified by two step projection matrix method and at the same time the general steady state model is transformed into the standard form required by statistical test (only measured variables present) , the gross errors are detected and compensated by GLR method and then the data reconciliation is performed. Thus, an integrated method of data reconciliation and gross error identification is developed and the computation is reduced.
出处
《计算机与应用化学》
CAS
CSCD
1998年第5期285-290,共6页
Computers and Applied Chemistry
关键词
数据校正
仪表测量
化工过程
稳态过程
Data reconciliation, Gross error detection, Projection matrix, Generalized likelihood ratio
