Bad data validation on the basis of a posteriori analysis

A. Pazderin, E. Kochneva
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引用次数: 13

Abstract

Reliability of metering information is very important. There are different mathematical methods of measurement data verification. Large quantity of the bad data identification techniques are proposed to identify low precision measurements. These methods are developed as a part of the state estimation problem to calculate the steady state on the basis of telemetry data. A new approach to the calculation of state variables vector is proposed. A posteriori algorithm of bad data validation is described in details. The example of bad data detection for test scheme is considered.
基于后验分析的错误数据验证
计量信息的可靠性非常重要。测量数据的验证有不同的数学方法。针对低精度测量,提出了大量的不良数据识别技术。这些方法是作为状态估计问题的一部分发展起来的,用于根据遥测数据计算稳态。提出了一种计算状态变量向量的新方法。详细介绍了一种不良数据验证的后验算法。给出了测试方案的坏数据检测实例。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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