A Fuzzy Logic Model for Power Transformer Faults’ Severity Determination Based on Gas Level, Gas Rate, and Dissolved Gas Analysis Interpretation

Autor: Bambang Anggoro Soedjarno, Nur Ulfa Maulidevi, H. Gumilang, Rahman Azis Prasojo, Suwarno
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Control and Optimization
Computer science
020209 energy
Dissolved gas analysis
health index
Energy Engineering and Power Technology
power transformer
02 engineering and technology
macromolecular substances
01 natural sciences
Fuzzy logic
lcsh:Technology
law.invention
Interpretation (model theory)
Reliability (semiconductor)
law
0103 physical sciences
0202 electrical engineering
electronic engineering
information engineering
support vector machine
Sensitivity (control systems)
Electrical and Electronic Engineering
Transformer
dissolved gas analysis
Engineering (miscellaneous)
010302 applied physics
Renewable Energy
Sustainability and the Environment
lcsh:T
musculoskeletal
neural
and ocular physiology
Reliability engineering
Support vector machine
nervous system
fuzzy logic
human activities
Energy (miscellaneous)
Zdroj: Energies; Volume 13; Issue 4; Pages: 1009
Energies, Vol 13, Iss 4, p 1009 (2020)
ISSN: 1996-1073
DOI: 10.3390/en13041009
Popis: In determining the severity of power transformer faults, several approaches have been previously proposed; however, most published studies do not accommodate gas level, gas rate, and Dissolved Gas Analysis (DGA) interpretation in a single approach. To increase the reliability of the faults’ severity assessment of power transformers, a novel approach in the form of fuzzy logic has been proposed as a new solution to determine faults’ severity using the combination of gas level, gas rate, and DGA interpretation from the Duval Pentagon Method (DPM). A four-level typical concentration and rate were established based on the local population. To simplify the assessment of hundreds of power transformer data, a Support Vector Machine (SVM)-based DPM with high agreements to the graphical DPM has been developed. The proposed approach has been implemented to 448 power transformers and further implementation was done to evaluate faults’ severity of power transformers from historical DGA data. This new approach yields in high agreement with the previous methods, but with better sensitivity due to the incorporation of gas level, gas rate, and DGA interpretation results in one approach.
Databáze: OpenAIRE
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