Intelligent prediction of transformer faults and severities based on dissolved gas analysis integrated with thermodynamics theory-Reference-Cited by-同舟云学术

Intelligent prediction of transformer faults and severities based on dissolved gas analysis integrated with thermodynamics theory

Published:2018-05 Issue:3 Volume:12 Page:388-394
ISSN:1751-8830
Container-title:IET Science, Measurement & Technology
language:en
Short-container-title:IET Science, Measurement & Technology

Author:

Ghoneim Sherif S.M.¹²

Affiliation:

1. Electrical DepartmentSuez University43527SuezEgypt

2. Electrical Engineering DepartmentTaif UniversityTaif21974Saudi Arabia

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-smt.2017.0450

Reference27 articles.

1. IEEE Standard C57.104‐2008: ‘IEEE guide for the interpretation of gases generated in oil‐immersed transformers’ February2009

2. IEC Publication 599: ‘Interpretation of the analysis of gases in transformers and other oil‐filled electrical equipment in service’ First Edition 1978

3. Application of fuzzy logic in fault diagnosis in transformers using dissolved gas based on different standards;Hooshmand R.;World Acad. Sci., Eng. Tech.,2008

4. A review of faults detectable by gas-in-oil analysis in transformers

5. Interpretation of gas-in-oil analysis using new IEC publication 60599 and IEC TC 10 databases

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