Abstract: The technique of constructing learning neurofuzzy diagnostic systems electric motors. The result of such a system is a determination of residual life of the motor. For the construction and training of such a system we used sigmoid membership functions, the method of back-propagation errors, etc.
Keywords: diagnosis, neurofuzzy system, residual life, motor
For citation:
Suhankin G. V., Vorobiev N. P. Model of residual life of a technical object as an example of the electric motor using neurofuzzy system. Doklady Tomskogo gosudarstvennogo universiteta sistem upravleniya i radioelektroniki, 2012, no. 2(26), – p. 1. pp. 219–223.
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