Novel data reconciliation model and gross error detection 一种新的数据协调模型及显著误差检测
Measurement errors can be mainly divided into two types : random error and gross error 这种误差又分为随机误差和显著误差两大类。
Application results show that the improved data reconciliation model is very effective and can be widely used in industrial processes 实际结果表明:本文所提出的数据协调和显著误差检测技术具有显著的应用价值。
A modified sicc ( serial identification with collective compensation ) method used in gross error detection and data reconciliation for chemical process is introduced in this paper 摘要提出了一种改进的sicc (顺序识别显著误差并同步补偿)算法。
By using temporal redundancy , upper and lower bounds of process measurements are added in the modified sicc method to avoid the misidentification of gross errors 改进后的算法利用时间冗余性,加入对过程测量变量的上下限约束,避免了显著误差的误判。
Simulation results show that the new method is very sensitive to the presence of gross errors and has a great probability of correctly finding one or several gross errors . 3 仿真研究结果表明:此方法对显著误差十分敏感,其各项性能指标均符合实际工业要求,具有较高的可信度和可应用性。
A method of selecting mges that can be deleted is proposed . because too much mges " deletion will result in an ineffective model , mges can not be deleted totally at one time 提出一种线性稳态数据协调中的显著误差变量选择删除算法,以保证在显著误差变量个数过多的情况下原有模型的有效性。
For the existing test based on measurement residual , the main problem is that the data reconciliation procedure tends to spread the gross errors overall the measurements , which results in the detection failure 通过构造一个基于测量值比例关系的f统计量,并与约束残差统计量相结合,对稳态过程中出现的显著误差进行检测。
Besides , the results of the new model can be used to detect gross errors directly . simulation results show that the gross error detection based on the new model is very sensitive to the presence of gross errors . 4 仿真试验证明:基于该改进模型的协调结果,可直接利用测量残差检测法进行显著误差检测,具有较高的错误检出率,且“虚警”的错误率较低。
To prevent the computation of project matrix , the measurements are compensated by using the estimated gross error magnitudes after each gross error is identified , and after that , mt ( measurement test ) method is used to find the gross error candidates 并且通过对显著误差进行逐步的幅度补偿,再采用mt (测量残差检验)法找出候选显著误差集,避免了投影矩阵的计算。