[1]司风琪,马宝萍,徐治皋.热力系统性能监测中的数据调和及不良数据检测[J].东南大学学报(自然科学版),2000,30(3):65-69.[doi:10.3969/j.issn.1001-0505.2000.03.014]
 Si Fengqi,Ma Baoping,Xu Zhigao.Data Reconciliation and Gross Error Detection in the Performance Monitoring of Thermodynamic System[J].Journal of Southeast University (Natural Science Edition),2000,30(3):65-69.[doi:10.3969/j.issn.1001-0505.2000.03.014]
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热力系统性能监测中的数据调和及不良数据检测()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
30
期数:
2000年第3期
页码:
65-69
栏目:
能源与动力工程
出版日期:
2000-05-20

文章信息/Info

Title:
Data Reconciliation and Gross Error Detection in the Performance Monitoring of Thermodynamic System
作者:
司风琪 马宝萍 徐治皋
东南大学动力工程系,南京 210096
Author(s):
Si Fengqi Ma Baoping Xu Zhigao
Department of Power Engineering, Southeast University, Nanjing 210096
关键词:
数据调和 不良数据 检测 可信度系数
Keywords:
data reconciliation bad data detection reliability coefficient
分类号:
TK39
DOI:
10.3969/j.issn.1001-0505.2000.03.014
摘要:
基于数据调和技术提出了一种不良数据检测方法,利用测量数据时间序列间的联系进行参数的预估计,按照所定义的测量数据可信度,能够正确估计出参数突变情况.
Abstract:
By the use of data reconciliation, a new method for gross error data detection is proposed in this paper. This method gives pre-estimation of parameter based the nature of time series. Data reliability coefficient is defined and optimal results can be achieved, even in case of parameter saltation.

参考文献/References:

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备注/Memo

备注/Memo:
第一作者:男, 1973年生, 博士研究生.
更新日期/Last Update: 2000-05-20