Location Estimation-Based Mixed Integer Linear Programming Approach for Multiple Gross Error Identification-Reference-Cited by-同舟云学术

Location Estimation-Based Mixed Integer Linear Programming Approach for Multiple Gross Error Identification

Published:2019-09-16 Issue:40 Volume:58 Page:18780-18787
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Tao Shaohui¹^ORCID,Zhang Delai¹,Xiang Shuguang¹^ORCID,Jiang Weiwei²,Li Rongqiang²

Affiliation:

1. College of Chemical Engineering, Qingdao University of Science and Technology, Qingdao 266042, People’s Republic of China

2. State Key Laboratory of Safety and Control for Chemicals, SINOPEC Qingdao Research Institute of Safety Engineering, Qingdao 266071, People’s Republic of China

Funder

National Natural Science Foundation of China

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.9b04127

Reference27 articles.

1. The Importance of Data Reconciliation and Gross Error Detection

2. Collection of benchmark test problems for data reconciliation and gross error detection and identification

3. Data reconciliation — Progress and challenges

4. Gross error detection and data reconciliation in steam-metering systems

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