On the Performance of Principal Component Analysis in Multiple Gross Error Identification-Reference-Cited by-同舟云学术

On the Performance of Principal Component Analysis in Multiple Gross Error Identification

Published:1999-03-24 Issue:5 Volume:38 Page:2005-2012
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Jiang Qiyou¹,Sánchez Mabel¹,Bagajewicz Miguel¹

Affiliation:

1. School of Chemical Engineering and Materials Science, University of Oklahoma, The Energy Center, 100 E. Boyd, Room T-335, Norman, Oklahoma 73019-0628, and Planta Piloto de Ingeniería Química (UNS-CONICET), Camino La Carrindanga, Km 7, (8000) Bahía Blanca, Argentina

Publisher

American Chemical Society (ACS)

Subject

Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/ie9804677

Reference24 articles.

1. Detection of gross errors in process data

2. Reconciliation of process flow rates by matrix projection. Part I: Linear case

3. Reconcillation and Rectification of Process Flow and Inventory Data

4. Generalized likelihood ratio method for gross error identification

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