1) identification and correction
辨识与校核
1.
Bad data identification and correction in multi-data source distribution networks
多数据源配电网不良数据的辨识与校核
2) calibration and resolution
校正与分辨
3) identification and modeling
辨识与建模
1.
The wavelet network-based identification and modeling problem for ceramic industry process is also discussed.
论述了小波网络结构、学习算法以及其优良逼近性能 ,探讨了小波网络对陶瓷工业过程的辨识与建模问题。
4) error parameters separating and identifying
分离与辨识
5) Identification and estimation
辨识与估计
6) detection and identification
检测与辨识
1.
An operationmodebased approach for bad data detection and identification were presented.
提出了一种基于运行模式的不良数据检测与辨识方法,该方法有效地克服了相关不良数据情况下由于"残差淹没"或"残差污染"造成的不良数据的漏检和正常数据的误检现象。
2.
According to the variety of measurement categories in power transmission system and distribution system and the shortcomings of traditional fast decoupling state estimation (ES), in this paper a new ES method for bad data detection and identification based on equivalent current measurement transformation is presented.
针对输电系统和配电系统量测类型多样性及传统快速解耦状态估计算法的不足,作者讨论并发展了一种基于等效电流量测变换的状态估计及不良数据检测与辨识方法。
补充资料：辨识
辨认；识别：～足迹 ㄧ烟雨蒙蒙，远处景物～不清。
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