Neuro fuzzy schemes for fault detection in power transformer

2007 ◽  
Vol 7 (2) ◽  
pp. 534-539 ◽  
Author(s):  
V. Duraisamy ◽  
N. Devarajan ◽  
D. Somasundareswari ◽  
A. Antony Maria Vasanth ◽  
S.N. Sivanandam
Keyword(s):  
Fault Detection ◽  
Power Transformer ◽  
Neuro Fuzzy

scholarly journals Neuro-Fuzzy for Sensor Fault Detection and Isolation

2014 ◽  
Vol 90 (17) ◽  
pp. 42-46
Author(s):  
Rajendra Sharma ◽  
Snehal Kokil ◽  
Prtit Khaire
Keyword(s):  
Fault Detection ◽  
Fault Detection And Isolation ◽  
Sensor Fault ◽  
Neuro Fuzzy ◽  
Sensor Fault Detection

ROBUST FAULT DETECTION USING NEURO-FUZZY NETWORKS

2005 ◽  
Vol 38 (1) ◽  
pp. 185-190 ◽  
Author(s):  
Marek Kowal ◽  
Józef Korbicz
Keyword(s):  
Fault Detection ◽  
Neuro Fuzzy ◽  
Robust Fault Detection

Induction Motors Stator Fault Analysis based on Artificial Intelligence

2016 ◽  
Vol 2 (1) ◽  
pp. 69 ◽  
Author(s):  
Hussein Taha Hussein ◽  
Mohamed Ammar ◽  
Mohamed Moustafa Hassan
Keyword(s):  
Artificial Intelligence ◽  
Fault Detection ◽  
Short Circuit ◽  
Fault Analysis ◽  
Fault Detection And Diagnosis ◽  
Neuro Fuzzy ◽  
Detection Approach ◽  
Three Phase ◽  
Detection And Diagnosis ◽  
Stator Fault

This article presents a method for fault detection and diagnosis of stator inter-turn short circuit in three phase induction machines. The technique is based on the stator current and modelling in the dq frame using an Adaptive Neuro-Fuzzy artificial intelligence approach. The developed fault analysis method is illustrated using MATLAB simulations. The obtained results are promising based on the new fault detection approach.

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