化工过程中MT-两两同步过失误差侦破方法的研究

Research of MT-pairwise Synchronous Gross Error Detection Method in Chemical Engineering

在工业过程中,获得准确可靠的测量数据是实现过程控制、模拟、优化和生产管理的前提条件。过程数据中存在的过失误差直接影响数据的准确性,因此,进行过失误差侦破与识别是非常重要的。根据测量数据检验法和两两同步侦破法的优缺点,提出了测量数据检验法和两两同步侦破法的组合方法来进行过失误差侦破与识别。实例应用表明,该方法不仅保留了两两同步法能够有效地侦破多个过失误差和泄漏的优势,而且明显地降低了两两同步侦破法中需要计算的统计检验量的数目,减少了侦破过程的计算量。

It is crucial for the control,simulation and management of the process to obtain high quality and reliability data for process industries.Gross errors existing in the measured process data can severely bias the reconciled data,thus,gross error detection and identification is very important.Based on the measurement test method and the pairwise synchronous detection method,a combined method is proposed for gross error detection and identification.Simulation results show that this combined method not only can keep advantage of better detection ratio,but also efficiently decrease the number of test statistics which need to calculate in the PSD method.