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Instruments and Systems: Monitoring, Control, and Diagnostics

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Diagnosis trouble modes of rotating clinker kiln based on neuro-fuzzy network
V.G. SINUK V.M. POLYAKOV M.V. PANCHENKO

The possibility of using neural network technology to solve the problem of diagnosing trouble modes of rotating clinker kiln,
using dry method of production is given. Developed neuro-fuzzy network based on the modified rule of inference, trained and
tuned using genetic algorithm. Also reviewed that developed software allow to solve the problem of classification. The Appendix
contains a fragment of fuzzy rule base of developed neuro-fuzzy network.
Key words: neuro-fuzzy network, rotating kiln, genetic algorithm, compositional rule of inference, trouble mode.

Contacts: E-mail: vgsinuk@mail.ru

Pp. 42-48.

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