GROSS ERROR DETECTION AND DATA RECONCILIATION IN PROCESS INDUSTRIES
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GROSS ERROR DETECTION AND DATA RECONCILIATION IN PROCESS INDUSTRIES
CIESC JournalIssue 2, (1996)
作者机构:
中国化工信息中心!北京100029,中国化工信息中心,北京,100029
作者简介:
基金信息:
DOI:
CLC:B114
Online First:25 April 1996,
Published:25 April 1996
稿件说明:
移动端阅览
Yang Youqi, Teng Rongbo(China National Chemical Information Center. GROSS ERROR DETECTION AND DATA RECONCILIATION IN PROCESS INDUSTRIES[J]. CIESC Journal, 1996, (2).
DOI:
Yang Youqi, Teng Rongbo(China National Chemical Information Center. GROSS ERROR DETECTION AND DATA RECONCILIATION IN PROCESS INDUSTRIES[J]. CIESC Journal, 1996, (2).DOI:
GROSS ERROR DETECTION AND DATA RECONCILIATION IN PROCESS INDUSTRIES
Gross error detection has great importance and is the necessary step in process data reconciliation.Many methods have been published to solve this problem
but no one can guarantee consistently finding all of gross errors.A combinatory method based upon measurement test (MT) and nodal test (NT) is developed for practical use. The MT-NT combinatory approach makes use of both MT and NT tests and avoids any artificial manipulation.It also eliminates the huge combinatorial problem that is created in the combinatory method based upon nodal test or in the serial elimination method in the case of more than one gross errors in a large process system.