NEURO-FUZZY SYSTEM FOR ENHANCED FAULT DIAGNOSIS IN INDUSTRIAL FACILITY

Konstantin Dimitrov
unpublished
The present paper describes the development of a modular neuro-fuzzy system, designated for enhanced and flexible fault diagnosis. Some specific neural algorithms for identification, recognition, evaluation and classification of the process parametric values are created and applied in the systems structure. The so-developed neuro-fuzzy system is then applied for fault diagnosis in an industrial zinc galvanizing facility, i.e., under real operational conditions.
fatcat:4jakaax7dzgeveo2wqjqxbjxzi