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

doi:10.1007/978-3-642-15822-3_47

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

Department of Computer Science

University of Leon
University of Oviedo

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

Abstract

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 language	English
Title of host publication	Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings
Pages	392-401
Number of pages	10
Volume	6353 LNCS
Edition	PART 2
DOIs	https://doi.org/10.1007/978-3-642-15822-3_47
Publication status	Published - 2010
MoE publication type	A4 Conference publication
Event	International Conference on Artificial Neural Networks - Thessaloniki, Greece Duration: 15 Sept 2010 → 18 Sept 2010 Conference number: 20

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	6353 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Artificial Neural Networks
Abbreviated title	ICANN
Country/Territory	Greece
City	Thessaloniki
Period	15/09/2010 → 18/09/2010

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10.1007/978-3-642-15822-3_47

Cite this

Prada, M. A., Domínguez, M., Díaz, I., Fuertes, J. J., Reguera, P., Morán, A., & Alonso, S. (2010). Application of SOM-based visualization maps for time-response analysis of industrial processes. In Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings (PART 2 ed., Vol. 6353 LNCS, pp. 392-401). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6353 LNCS, No. PART 2). https://doi.org/10.1007/978-3-642-15822-3_47

Prada, Miguel A. ; Domínguez, Manuel ; Díaz, Ignacio et al. / Application of SOM-based visualization maps for time-response analysis of industrial processes. Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings. Vol. 6353 LNCS PART 2. ed. 2010. pp. 392-401 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

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title = "Application of SOM-based visualization maps for time-response analysis of industrial processes",

abstract = "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.",

author = "Prada, \{Miguel A.\} and Manuel Dom{\'i}nguez and Ignacio D{\'i}az and Fuertes, \{Juan J.\} and Perfecto Reguera and Antonio Mor{\'a}n and Seraf{\'i}n Alonso",

year = "2010",

doi = "10.1007/978-3-642-15822-3\_47",

language = "English",

isbn = "3642158218",

volume = "6353 LNCS",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

number = "PART 2",

pages = "392--401",

booktitle = "Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings",

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}

Prada, MA, Domínguez, M, Díaz, I, Fuertes, JJ, Reguera, P, Morán, A & Alonso, S 2010, Application of SOM-based visualization maps for time-response analysis of industrial processes. in Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings. PART 2 edn, vol. 6353 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 6353 LNCS, pp. 392-401, International Conference on Artificial Neural Networks, Thessaloniki, Greece, 15/09/2010. https://doi.org/10.1007/978-3-642-15822-3_47

Application of SOM-based visualization maps for time-response analysis of industrial processes. / Prada, Miguel A.; Domínguez, Manuel; Díaz, Ignacio et al.
Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings. Vol. 6353 LNCS PART 2. ed. 2010. p. 392-401 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6353 LNCS, No. PART 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Application of SOM-based visualization maps for time-response analysis of industrial processes

AU - Prada, Miguel A.

AU - Domínguez, Manuel

AU - Díaz, Ignacio

AU - Fuertes, Juan J.

AU - Reguera, Perfecto

AU - Morán, Antonio

AU - Alonso, Serafín

N1 - Conference code: 20

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/78049387725

U2 - 10.1007/978-3-642-15822-3_47

DO - 10.1007/978-3-642-15822-3_47

M3 - Conference article in proceedings

AN - SCOPUS:78049387725

SN - 3642158218

SN - 9783642158216

VL - 6353 LNCS

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 392

EP - 401

BT - Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings

T2 - International Conference on Artificial Neural Networks

Y2 - 15 September 2010 through 18 September 2010

ER -

Prada MA, Domínguez M, Díaz I, Fuertes JJ, Reguera P, Morán A et al. Application of SOM-based visualization maps for time-response analysis of industrial processes. In Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings. PART 2 ed. Vol. 6353 LNCS. 2010. p. 392-401. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-642-15822-3_47

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

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