Neuro-fuzzy Approach for Fault Location and Diagnosis Using Online Learning System
نویسنده
چکیده
This paper outlines a hybrid approach of neuro-fuzzy based learning and classification approach based on the online learning systems. The effect of fault diagnosis for the suggested fault location tool is evaluated over the conventional fault diagnosis based approaches. The method of fault location based on the conventional offline neuro controller approach is compared with the suggested hybrid approach for learning and convergent time evaluation for distributed systems.
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