提出基于时间冗余的不可删显著误差处理方法。
An approach for estimation of undeletable measurements with gross errors(MGEs) is proposed based on temporal redundancy information.
数据校正工业生产过程的数据显著误差检测与数据校正。
Data Reconciliation Gross error detection and data rectification in information integration system of process industries.
通过加入环境节点约束方程对多显著误差的同步识别并同步补偿法(SEGE)进行改进研究。
The simultaneous estimation of gross errors (SEGE) is modified by adding environment node constraint to improve the detection performance.
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