Artificial neural network based identification of deviation in frequency response of power transformer windings

2014 Annual International Conference on Emerging Research Areas: Magnetics, Machines and Drives, AICERA/iCMMD 2014 - Proceedings

Volumn , Issue , 2014, Pages

  Gandhi, Ketan R ^a   Badgujar, Ketan P ^b  

^a L D COLLEGE OF ENGINEERING   (India)

^b IITRAM   (India)

Author keywords

artificial neural network; frequency response analysis; Power transformer; statistical indicators; winding deformation

Indexed keywords

BACKPROPAGATION; DEFORMATION; DIGITAL STORAGE; FEEDFORWARD NEURAL NETWORKS; FREQUENCY RESPONSE; NEURAL NETWORKS; POWER TRANSFORMERS; TRANSFORMER WINDINGS; WINDING;

ARTIFICIAL NEURAL NETWORK APPROACH; FREQUENCY RESPONSE ANALYSIS; FREQUENCY RESPONSE PLOTS; MULTILAYER FEEDFORWARD NEURAL NETWORKS; STATISTICAL INDICATORS; SWEEP FREQUENCY RESPONSE ANALYSIS; TRAINED NEURAL NETWORKS; WINDING DEFORMATIONS;

MULTILAYER NEURAL NETWORKS;

EID: 84908628124     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AICERA.2014.6908217     Document Type: Conference Paper

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