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Multiple Alarm Management with Self-Organizing Maps

By Satu Tamminen, Susanna Pirttikangas, Seppo Nissilä, Vesa Pentikäinen, Kauko Väinämö and Juha Röning


Introduction The purpose of this research was to develop a simple and descriptive device for people interested in their own well-being. It helps to recognize the changes in physical parameters occurring during normal life. There is no ambition to substitute the doctor in diagnosing, but to help people to maintain good health. The rst step in process modelling was to dene the normal and abnormal states of the system. The measured signals of the system can be analyzed with dynamic control limits in order to monitor their variability. When abnormalities are detected, a new binary variable can be composed to identify hazardous observations. In this application, dynamic control limits were used as indicators of fast changes in independent signals. The calculation of dynamic control limits can be done on-line. For data reduction, old data are deleted when new data are entered in the system. A history of three days seems to be adequate for setting up the limits. The monitoring o

Year: 2007
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