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Output details

13 - Electrical and Electronic Engineering, Metallurgy and Materials

University of Manchester : B - Electrical and Electronic Engineering

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Article title

Monitoring a complex refining process using multivariate statistics

Type

D - Journal article

DOI

10.1016/j.conengprac.2007.04.014

Title of journal

Control Engineering Practice

Article number

Volume number

Issue number

First page of article

294

ISSN of journal

0967-0661

Year of publication

2008

URL

Number of additional authors

Additional information

This paper describes an adaptive method for detecting abnormal situations on a large-scale crude-oil processing unit. Its key feature is that it can track changes in plant dynamics, while still identifying abnormal conditions, a severe weakness in other techniques. The method was developed in collaboration with Saudi Aramco (contact details available), where plant engineers have found it an invaluable aid in monitoring their processes.

Interdisciplinary

Cross-referral requested

Research group

8 - Control Systems

Proposed double-weighted

Double-weighted statement

Reserve for a double-weighted output

Non-English

English abstract