This paper presents a portable condition monitoring system named MAPREX which was developed as result of the cooperation between the University of Oviedo and Aceralia inside of a research project funded by the ECSC - Steel RTD Program. The system integrates powerful monitoring and data visualization techniques based on the Self Organizing Map (SOM) algorithm. In this paper is described in detail the system architecture and performances, visualization techniques implemented and an example displaying real data from a 6,000 kW DC motor of a hot strip mill rolling stan
Abstract The operation of industrial manufacturing processes can suffer greatly when critical compo...
Prognostic Health Management (PHM) is a recent approach for the realization of Predictive Maintenanc...
This paper presentes a process-monitoring scheme utilising adaptive self-organising maps (SOM) to de...
Steel processes are often of a complex nature and difficult to model. All information that we have a...
Condition monitoring of systems and detection of changes in the systems are of significant importanc...
Industrial manufacturing plants often suffer from reliability problems during their day-to-day opera...
An efficient operation of complex industrial processes requires the continuous diagnosis of the asse...
In this paper, we overview and discuss the implementation of topology-based approaches to modeling a...
Artículo publicado en abierto mediante APC Elsevier Open AccessRolling of flat steel products is an ...
In this paper, we overview and discuss the implementation of some topological approaches to modeling...
Tool condition monitoring (TCM) is a mean to optimize production systems trying to use cutting tool ...
The ever increasing demand for shorter production times and reduced production costs require manufa...
Process monitoring and fault diagnosis have been studied widely in recent years, and the number of i...
International audienceIn the context of process monitoring and predictive maintenance, an adapted vi...
The hidden qualities of a product are often revealed in the process. Subsurface material damage, sur...
Abstract The operation of industrial manufacturing processes can suffer greatly when critical compo...
Prognostic Health Management (PHM) is a recent approach for the realization of Predictive Maintenanc...
This paper presentes a process-monitoring scheme utilising adaptive self-organising maps (SOM) to de...
Steel processes are often of a complex nature and difficult to model. All information that we have a...
Condition monitoring of systems and detection of changes in the systems are of significant importanc...
Industrial manufacturing plants often suffer from reliability problems during their day-to-day opera...
An efficient operation of complex industrial processes requires the continuous diagnosis of the asse...
In this paper, we overview and discuss the implementation of topology-based approaches to modeling a...
Artículo publicado en abierto mediante APC Elsevier Open AccessRolling of flat steel products is an ...
In this paper, we overview and discuss the implementation of some topological approaches to modeling...
Tool condition monitoring (TCM) is a mean to optimize production systems trying to use cutting tool ...
The ever increasing demand for shorter production times and reduced production costs require manufa...
Process monitoring and fault diagnosis have been studied widely in recent years, and the number of i...
International audienceIn the context of process monitoring and predictive maintenance, an adapted vi...
The hidden qualities of a product are often revealed in the process. Subsurface material damage, sur...
Abstract The operation of industrial manufacturing processes can suffer greatly when critical compo...
Prognostic Health Management (PHM) is a recent approach for the realization of Predictive Maintenanc...
This paper presentes a process-monitoring scheme utilising adaptive self-organising maps (SOM) to de...