1) gross error detection and identification
过失误差的侦破与识别
1.
Data rectification can be classified into two categories: data reconciliation, gross error detection and identification.
数据校正包括数据协调和过失误差侦破与识别两部分,其中过失误差的侦破与识别一直是数据校正的重点和难点所在。
2) gross error detection
过失误差侦破
1.
Simultaneous gross error detection and data reconciliation based on the robust estimation principle;
数据协调与过失误差侦破的鲁棒估计同步方法
2.
New method of gross error detection combined with soft sensor modeling;
与软测量建模相结合的过失误差侦破新方法
3.
The gross error detection approach is integrated with moving time window average filter algorithm,so the random error and gross error can be handled simultaneously.
针对软测量技术在线实施时的数据预处理问题,提出了基于聚类分析的过失误差侦破方法。
3) gross error identification
过失误差识别
4) identifiability of gross error
系统的过失误差可识别性
1.
The concept of identifiability of gross error for the process was defined.
提出了系统的过失误差可识别性的概念,分析了稳态系统的特性,指出了系统过失误差可识别的条件,并提出了过失误差的参数估计识别方法。
5) identification method of gross error based on parameter estimation
过失误差的参数估计识别方法
补充资料：摄受因过失
【摄受因过失】
谓诸众生，由造种种恶业之因，摄取未来苦果，展转轮回，不能解脱，是为摄受因过失。
谓诸众生，由造种种恶业之因，摄取未来苦果，展转轮回，不能解脱，是为摄受因过失。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条