Click here to skip to this page's main content.

New to the Open Library? — Learn how it works
Last edited by WorkBot
January 24, 2010 | History

A comparison of N4SID and PLS modeling of a multivariate process for fault detection and diagnosis 1 edition

A comparison of N4SID and PLS modeling of a multivariate process for f ...
Paulo Roberto Cury Salomao Fil ...

Read

No readable version available.

Lists

You could add A comparison of N4SID and PLS modeling of a multivariate process for fault detection and diagnosis to a list if you log in.
Jeepers. There's no description for this book yet. Can you help?
There is only 1 edition record, so we'll show it here...  •  Add edition?

A comparison of N4SID and PLS modeling of a multivariate process for fault detection and diagnosis.

Published 2006 .
Written in English.

About the Book

This research focuses on the comparison of the fault detection and diagnosis performances achieved by two different modeling techniques, PLS and N4SID, applied to the data generated by the TE Simulator. For each model, a number of faulty datasets are monitored using the T2 and the Q statistics and, once an out-of-control signal is obtained, the fault diagnosis is performed using contribution plots and cumulative sum plots for regression adjusted variables. The results of each technique are confronted with expected theoretical results, and performance indexes are generated. These overall results for the PLS and the N4SID models are then compared, leading to the conclusion that the performance of the N4SID model is, in terms of detection time and diagnose power, superior to that of the PLS model. In addition, a maintenance strategy is derived based on the fault monitoring and diagnosis results, focusing on the production cost of the plant.

Edition Notes

Source: Masters Abstracts International, Volume: 44-06, page: 2951.

Thesis (M.A.Sc.)--University of Toronto, 2006.

Electronic version licensed for access by U. of T. users.

ROBARTS MICROTEXT copy on microfiche.

The Physical Object

Pagination
130 leaves.
Number of pages
130

ID Numbers

Open Library
OL19215798M
ISBN 13
9780494163665

History Created December 11, 2009 · 2 revisions Download catalog record: RDF / JSON

January 24, 2010 Edited by WorkBot add more information to works
December 11, 2009 Created by WorkBot add works page