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

Tietotekniikan laitos

University of Leon
University of Oviedo

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings
Sivut	392-401
Sivumäärä	10
Vuosikerta	6353 LNCS
Painos	PART 2
DOI - pysyväislinkit	https://doi.org/10.1007/978-3-642-15822-3_47
Tila	Julkaistu - 2010
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisussa
Tapahtuma	International Conference on Artificial Neural Networks - Thessaloniki, Kreikka Kesto: 15 syysk. 2010 → 18 syysk. 2010 Konferenssinumero: 20

Julkaisusarja

Nimi	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Numero	PART 2
Vuosikerta	6353 LNCS
ISSN (painettu)	0302-9743
ISSN (elektroninen)	1611-3349

Conference

Conference	International Conference on Artificial Neural Networks
Lyhennettä	ICANN
Maa/Alue	Kreikka
Kaupunki	Thessaloniki
Ajanjakso	15/09/2010 → 18/09/2010

Pääsy asiakirjaan

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

Muut tiedostot ja linkit

Link to publication in Scopus

Siteeraa tätä

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. teoksessa Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings (PART 2 toim., Vuosikerta 6353 LNCS, Sivut 392-401). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 6353 LNCS, Nro 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. Vuosikerta 6353 LNCS PART 2. toim. 2010. Sivut 392-401 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{70828832e63f410197ccf3063f0186d7,

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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note = "International Conference on Artificial Neural Networks, ICANN ; Conference date: 15-09-2010 Through 18-09-2010",

}

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. julkaisussa Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings. PART 2 toim, Vuosikerta 6353 LNCS, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Nro PART 2, Vuosikerta 6353 LNCS, Sivut 392-401, International Conference on Artificial Neural Networks, Thessaloniki, Kreikka, 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. Vuosikerta 6353 LNCS PART 2. toim. 2010. s. 392-401 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vuosikerta 6353 LNCS, Nro PART 2).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference article in proceedings › Scientific › vertaisarvioitu

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

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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. julkaisussa Artificial Neural Networks, ICANN 2010 - 20th International Conference, Proceedings. PART 2 toim. Vuosikerta 6353 LNCS. 2010. s. 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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