An interpretation of neural networks as inference engines with application to transformer failure diagnosis

Author:

Castro Adriana R. Garcez,Miranda Vladimiro

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Reference8 articles.

1. Evolving neural nets for fault diagnosis of power transformer;Yann-Chang;IEEE Trans Power Deliv,2003

2. A fuzzy information approach to integrating different transformer diagnostic methods;Tomsovic;IEEE Trans Power Deliv,1993

3. An artificial neural approach to transformer fault diagnosis;Zhang;IEEE Trans Power Deliv,1996

4. Mapping neural networks into rule sets and making their hidden knowledge explicit - application to spatial load forecasting;Castro,2002

5. Are artificial neural networks black boxes?;Benitez;IEEE Trans Neural Netw,1997

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1. A feature selection and ensemble learning based methodology for transformer fault diagnosis;Applied Soft Computing;2024-01

2. Development of fuzzy classifier for technical condition ranking of power transformer;Electrical Engineering & Electromechanics;2023-08-21

3. Improvement of power transformer fault diagnosis by using sequential Kalman filter sensor fusion;International Journal of Electrical Power & Energy Systems;2023-07

4. Fault diagnosis of power transformers using ANN and SMOTE algorithm;International Journal of Applied Electromagnetics and Mechanics;2022-11-30

5. A Methodology to Diagnose Transformer Faults Based on Principal Components Analysis and Artificial Neural Network;2022 IEEE 6th Conference on Energy Internet and Energy System Integration (EI2);2022-11-11

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