NDLI: Iterative Multidimensional Scaling for Industrial Process Monitoring

Content Provider	IEEE Xplore Digital Library
Author	Matheus, J. Dourado, A. Henriques, J. Antonio, M. Nogueira, D.
Copyright Year	2006
Description	Author affiliation: Univ. of Coimbra, Coimbra (Matheus, J.; Dourado, A.; Henriques, J.)
Abstract	Monitoring high dimensional industrial processes for performance analysis and improvement should be done in a low-dimensional space, where human-computer interaction is effective and where the human operator can easily identify the main actual features of the process. For this purpose space reduction must keep the relevant and informative geometric characteristics of the original space, using proper metrics. In this work the reduction of n-dimensional space to bi-dimensional one is developed through multidimensional scaling with a proposed iterative capability. In the 2-D process map, named POM-Projected Orientation Map, the operational regions of the process under specific conditions can be easily classified. This classification is made by recursive clustering Dignet algorithm, giving information to the monitoring system about the possible quality of the running operating conditions. This strategy is applied to the process of Hydro Desulfuration (HDS) from Refinery of Petrogal at Sines (Galp Energia).
Starting Page	62
Ending Page	67
File Size	1660565
Page Count	6
File Format	PDF
ISBN	1424400996
DOI	10.1109/ICSMC.2006.384359
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-08
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Multidimensional systems Monitoring Aerospace industry Data mining Industrial control Humans Extraterrestrial measurements Refining Psychology Fuel processing industries
Content Type	Text
Resource Type	Article

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