Proceedings ArticleDOI
Comparative Study and Analysis of DGA Methods for Transformer Mineral Oil
Nor Asiah Muhamad,B.T. Phung,Trevor Blackburn,K.X. Lai +3 more
- pp 45-50
TLDR
In this article, the authors investigated the accuracy and consistency of these methods in interpreting the transformer condition, which is carried out on DGA data obtained from the local power utilities and from published papers.Abstract:
Dissolved gas-in-oil analysis (DGA) is a sensitive and reliable technique for the detection of incipient fault condition within oil-immersed transformers. The presence of certain key gases is monitored and quantified. There are a number of methods developed for analyzing these gases and interpreting their significance: Key Gas, Rogers Ratio, Doernenburg, Logarithmic Nomograph, IEC Ratio and Duval Triangle. This paper investigates the accuracy and consistency of these methods in interpreting the transformer condition. The evaluation is carried out on DGA data obtained from the local power utilities and from published papers. The data consists of 92 different cases. The key gases considered are hydrogen, methane, ethane, ethylene and acetylene. A MATLAB program was developed to automate the evaluation of the methods.read more
Citations
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Journal ArticleDOI
A review of dissolved gas analysis measurement and interpretation techniques
TL;DR: Dissolved gas analysis (DGA) has been used to assess the condition of power transformers as mentioned in this paper, which uses the concentrations of various gases dissolved in the transformer oil due to decomposition of the oil and paper insulation.
Journal ArticleDOI
Analysis of artificial intelligence expert systems for power transformer condition monitoring and diagnostics
Mileta Žarković,Zlatan Stojković +1 more
TL;DR: In this article, an artificial intelligence-based methodology for power transformers fault detection and classification is presented, which can assist the operator's engineers in decision making about urgency of intervention and type of maintenance of power transformer.
Journal ArticleDOI
Tracing Acetylene Dissolved in Transformer Oil by Tunable Diode Laser Absorption Spectrum
TL;DR: An optical gas detection system based on TDLAS technology is proposed to detect acetylene dissolved in transformer oil that responds quickly to changes of gas concentration and is easily to maintenance while has no electromagnetic interference, cross-sensitivity, or carrier gas.
Journal ArticleDOI
DGA Interpretation Scheme Derived From Case Study
Xiaohui Li,Huaren Wu,Danning Wu +2 more
TL;DR: In this paper, the authors presented a DGA interpretation scheme for fault detection in oil-filled electrical equipment in service, where the gas ratios and relative proportions of gases are used to diagnose the fault.
Journal ArticleDOI
Remaining lifetime modeling of power transformers: individual assets and fleets
TL;DR: In this article, the authors present a model for estimating the paper insulation degradation rate of power transformers, where the degradation rate is not a linear function of temperature, but instead is a function of the average values of dynamic load and ambient temperature.
References
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Journal ArticleDOI
Review of condition assessment of power transformers in service
TL;DR: In this article, an extensive review is given of diagnostic and monitoring tests, and equipment available that assess the condition of power transformers and provide an early warning of potential failure, which is a very important issue for utilities.
Journal ArticleDOI
A fuzzy dissolved gas analysis method for the diagnosis of multiple incipient faults in a transformer
TL;DR: In this paper, a fuzzy logic technique is used to diagnose multiple faults in a transformer and quantitatively indicate the likelihood/severity of each fault, which is important for a transformer in critical situation.
Proceedings ArticleDOI
ANN approach for condition monitoring of power transformers using DGA
TL;DR: In this article, the ANN approach is adopted as a remedy for the drawback of ratio methods in the DGA for transformer fault diagnosis, where the ratio methods have an advantage that they are independent of volume of gases involved.
Proceedings ArticleDOI
On-line monitoring of power transformers and components: a review of key parameters
TL;DR: The IEEE Transformer On-Line Monitoring Task Force is developing a guide for the on-line monitoring of power transformers, its components, and accessories as mentioned in this paper, which is expected in mid 2000.
Proceedings ArticleDOI
Diagnosis of power transformer faults on fuzzy three-ratio method
TL;DR: Simulation proves the proposed method can overcome the drawbacks of the conventional three-ratio method that can not diagnose multi-fault and no matching codes for diagnosis, thus, it greatly enhanced diagnosing accuracy.