The Steady Return Algorithm in the Research of the Abnormity Data Diagnoses and Application

 

Sun ShiBing


Authors: SUN Shi-Bing   ZHAO Huan


针对异常数据提出了一种有效的诊断方法。本文先从实例分析入手,
再到理论推导,尔后列出了该方法的算法步骤与应用领域。实验证明,
随着信息与控制技术的发展,对异常数据的诊断要求与其处理越来越重要、
越来越迫切,数据校正技术能有效地提高测量数据的质量。


An efficient method is proposed to diagnose a sort of abnormity data . We start with analyzing an example first and carry through theory deducing once more and finally list this method steps and application field. As the experiments shown, with the development information and control technology, we need more and more important and imminent way to diagnose abnormity data and eliminate them. The quality of measuring data is improved availably by the use of data emendation technique.

Keywords : Abnormity DataDiagnosesProcess ErrorAlgorithm, Control