Particle swarm optimization-based support vector machine for forecasting dissolved gases content in power transformer oil-Reference-Cited by-同舟云学术

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Particle swarm optimization-based support vector machine for forecasting dissolved gases content in power transformer oil

Published:2009-06 Issue:6 Volume:50 Page:1604-1609
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Fei Sheng-wei,Wang Ming-Jun,Miao Yu-bin,Tu Jun,Liu Cheng-liang

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference17 articles.

1. Grey clustering analysis for incipient fault diagnosis in oil-immersed transformers;Lin;Expert Syst Appl,2008

2. An expert system for transformer fault diagnosis using dissolved gas analysis;Lin;IEEE Trans Power Delivery,1993

3. A fuzzy dissolved gas analysis method for the diagnosis of multiple incipient faults in a transformer;Su;IEEE Trans Power Syst,2000

4. Diagnosis of incipient faults in power transformers using CMAC neural network approach;Hung;Elect Power Syst Res,2004

5. A simulated-based neural network algorithm for forecasting electrical energy consumption in Iran;Azadeh;Energy Policy,2008

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