NEURAL-LEXICAL CLASSIFICATION OF POWER QUALITY INSTRUMENTATION MULTIPLICITY
Maurizio Caciotta, Michela Cristiani
Abstract:
The problem of perceived electrical power quality by users of the Little Medium Enterprises (LME) is settled and matched with the difficulty to individuate the correct instrumentation that is able make their satisfaction. The exorbitant quantity of instruments that are on the market, that, the builders assure, measure power quality, cannot be completely managed by operators. The paper present a system based on automatic lexical procedure that read the manuals and extract the information that can be properly managed by a Kohonen non supervised neural network to obtain an optimal inner classification in view to cross data with an inquiry on effective perceived quality by users.
Keywords:
Power Quality, Kohonen Neural Network, Lexical Analysis
Download:
PWC-2003-TC4-028.pdf
DOI:
-
Event details
Event name:
XVII IMEKO World Congress
Title:

Metrology in the 3rd Millennium

Place:
Dubrovnik, CROATIA
Time:
22 June 2003 - 28 June 2003
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