Artificial Intelligence Applications in the Diagnosis of Power Transformer Incipient Faults

Artificial Intelligence Applications in the Diagnosis of Power Transformer Incipient Faults

This dissertation is a systematic study of artificial intelligence (AI) applications for the diagnosis of power transformer incipient fault. The AI techniques include artificial neural networks (ANN, or briefly neural networks - NN), expert systems, fuzzy systems and multivariate regression. The fa...

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Bibliographic Details
Main Author: Wang, Zhenyuan
Other Authors: Electrical and Computer Engineering
Format: Others
Published: Virginia Tech 2014
Subjects:
Power Transformer
Fault Diagnosis
Artificial Intelligence
Dissolved Gas-in-oil Analysis (DGA)
Neural Network
Fuzzy System
Expert System
Online Access:http://hdl.handle.net/10919/28594
http://scholar.lib.vt.edu/theses/available/etd-08102000-21510032/

Internet

http://hdl.handle.net/10919/28594
http://scholar.lib.vt.edu/theses/available/etd-08102000-21510032/

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