在化工过程中过程数据常含有随机误差和过失误差。 过失误差是由过程中的非随机事件如工艺泄漏、测量仪表失灵、设备故障等引发的测量数据严重失真现象,致使测量数据的真实值与测量值之间出现显著差异的误差。
本文首先对传统的数据协调方法和过失误差侦破方法进行了研究。
In this thesis, traditional data reconciliation and gross errors detection methods are studied firstly.
实例研究表明,这种方法能够有效地提高多过失误差共存时的侦破能力。
The results show that the new method can improve the detecting power of the muhiple gross errors detection greatly.
本文对如何避免过失误差,控制好偶然误差以提高风洞不同期试验精度提出了一些建议。
How to avoid mistaken error and control accidental error and some suggestions to advance the testing precision of the windtunnel in different period are presented in the paper.
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