Application of SOM-based visualization maps for time-response analysis of industrial processes

Miguel A. Prada, Manuel Domínguez, Ignacio Díaz, Juan J. Fuertes, Perfecto Reguera, Antonio Morán, Serafín Alonso

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Self-organizing maps have been extensively used for visualization of industrial processes. Nevertheless, most of these approaches lack insight about the dynamic behavior. Recently, an approach to define visualizable maps of dynamics from data has been proposed. We propose the application of this approach to single-input single-output processes by defining several maps related to relevant features in the time-response analysis. This features are commonly used in control engineering. We show that these maps are intuitive and consistent tools for knowledge discovery and validation. They also provide a general overview of the process behavior and can be used along with other previously defined maps for process analysis and monitoring.

Original languageEnglish
Title of host publicationArtificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings
Number of pages10
Volume6353 LNCS
EditionPART 2
Publication statusPublished - 2010
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Artificial Neural Networks - Thessaloniki, Greece
Duration: 15 Sep 201018 Sep 2010
Conference number: 20

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 2
Volume6353 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


ConferenceInternational Conference on Artificial Neural Networks
Abbreviated titleICANN

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