Internet-based remote supervision of industrial processes using self-organizing maps

Domí­nguez, Manuel; Fuertes, Juan J.; Reguera, P.; Díaz, Ignacio; Cuadrado, Abel A.

doi:10.1016/j.engappai.2006.11.017

Cited by 21 publications

(13 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Once this is accomplished, each observation time (row-vector of the input data matrix) is mapped to the grid based on similarity rather than temporal sequence. Thus, the SOM allows tracking of the system state by visualizing trajectories through time (Dominguez et al 2007). A first step in creating a SOM is to determine the size and shape of the basic grid, which will later be used to build the map.…”

Section: Discussionmentioning

confidence: 99%

“…Kohonen (2001) provides explanatory figures of the following section. SOMs have found use in many engineering applications, for example, for monitoring industrial process states or drinking-water quality in distribution networks (Dominguez et al 2007;Mustonen et al 2008;Corona et al 2010). A SOM consists of a set of nodes in a regular 2-D or 3-D grid where every node represents a so-called reference vector.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Multivariate Analysis of Groundwater-Quality Time-Series Using Self-organizing Maps and Sammon’s Mapping

Page

Huggenberger

Lischeid

2015

Water Resour Manage

View full text Add to dashboard Cite

Groundwater extracted from alluvial aquifers close to rivers is vulnerable to contamination by infiltrating river water. Infiltration is often increased during high discharge events, when the levels of waterborne pathogens are also increased. Water suppliers with low-level treatment thus rely on alternative measures derived from information on system state to manage the resource and maintain drinking-water quality. In this study, a combination of Self-Organizing Maps and Sammon's Mapping (SOM-SM) was used as a proxy analysis of a multivariate time-series to detect critical system states whereby contamination of the drinking water extraction wells is imminent. Groundwater head, temperature and electrical conductivity time-series from groundwater observation wells were analysed using the SOM-SM method. Independent measurements (spectral absorption coefficient, turbidity, particle density and river stage) were used. This approach can identify critical system states and can be integrated into an adaptive, online, automated groundwater-management process.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Multivariate Analysis of Groundwater-Quality Time-Series Using Self-organizing Maps and Sammon’s Mapping

Page

Huggenberger

Lischeid

2015

Water Resour Manage

View full text Add to dashboard Cite

show abstract

“…In addition, other works use Wireless and Internet communications technologies for monitoring and control 11 , and for data acquisition and control of Display Systems (WSDS) for Access via Internet 12 . Some laboratory experiments attempted to apply web technologies to acquire information remotely 13 or for remote supervision of industrial processes, using self-organizing maps 14 to remote control and monitor web-based distributed OPC system 15 . A web-based remote voice control of robotized cells was developed, based on the use of quasi-natural language.…”

Section: Web-based Process Control Workmentioning

confidence: 99%

Internet and Fuzzy Based Control System for Rotary Kiln in Cement Manufacturing Plant

Zermane¹,

Mouss²

2017

IJCIS

View full text Add to dashboard Cite

This paper develops an Internet-based fuzzy control system for an industrial process plant to ensure the remote and fuzzy control in cement factories in Algeria. The remote process consists of control, diagnosing alarms occurs, maintaining and synchronizing different regulation loops. Fuzzy control of the kiln ensures that the system be operational at all times, with minimal downtime. Internet technology ensures remote control. The system reduces downtimes and can guided by operators in the main control room or via Internet.

show abstract

“…SOMs were introduced by Kohonen (1982), and they have a wide variety of applications in different fields (Kangas & Kaski, 1998) such as visualisation or voice and image analyses. They have also been successfully applied to process monitoring tasks such as the analysis of a wave soldering process (Liukkonen, Havia, Leinonen, & Hiltunen, 2009), Internet-based remote supervision (Domínquez, Fuertes, Reguera, Díaz, & Cuadrado, 2007), fault diagnosis of an ethylene cracking process (Kämpjärvi et al, 2008), and monitoring of a flash smelting furnace (Jämsä-Jounela, Vermasvuori, Endén, & Haavisto, 2003), for instance.…”

Section: Introductionmentioning

confidence: 99%

Monitoring of caliper sensor fouling in a board machine using self-organising maps

Tikkala

Jämsä‐Jounela

2012

Expert Systems with Applications

View full text Add to dashboard Cite

This paper presentes a process-monitoring scheme utilising adaptive self-organising maps (SOM) to detect process conditions that lead to the fouling of a caliper sensor in a board machine. The scheme is based on mapping on a SOM the process measurements and the calculated variables which provide insight into the chemical phenomena involved in fouling to classify faulty process conditions. The time-variant nature of the board making process was taken into account by regularly re-training the SOM. The monitoring scheme is demonstrated with industrial data, and the results are presented and discussed.

show abstract

Internet-based remote supervision of industrial processes using self-organizing maps

Cited by 21 publications

References 17 publications

Multivariate Analysis of Groundwater-Quality Time-Series Using Self-organizing Maps and Sammon’s Mapping

Multivariate Analysis of Groundwater-Quality Time-Series Using Self-organizing Maps and Sammon’s Mapping

Internet and Fuzzy Based Control System for Rotary Kiln in Cement Manufacturing Plant

Monitoring of caliper sensor fouling in a board machine using self-organising maps

Contact Info

Product

Resources

About