Early fault detection is an important issue in nuclear industry. Methods based on self-
organizing map (SOM) in dynamic systems are discussed and developed to help operators …

Failure management in process industry has difficult tasks. Decision support in control
rooms of nuclear power plants is needed. A prototype that uses Self-Organizing Map (SOM) …

Patient's motion recognition is quite popular in the area of healthcare and medical service
nowadays. By analyzing the data from variant sensors within the network, we can estimate …

The self-organizing map (SOM)[1] is used in data analysis for resolving and visualizing
nonlinear relationships in complex data. This paper presents an application of the SOM for …

Teollisuus ja liiketoiminta ovat täynnä monimutkaisia päätöksentekoprosesseja, joissa
inhimillisen virheen mahdollisuus on suuri. Nämä prosessit ovat hyvin kriittisiä …

In this article the authors discuss several approaches to high dimensional data structure
analysis using self-organising maps. The described approaches utilise graphical images for …

The modernization process in control rooms of nuclear power plants has risen up new
needs. For instance, wide monitoring screens set up many new requirements for …

This paper presents a tool, which is used in the identification of models for the estimation of
the uncertainty of measurements in an on-line process monitoring application. The tool has …

Early and accurate fault detection has long been a major challenge in safety of industrial
plants. Fault detection and diagnosis can minimize downtime, increase the safety and …