Fuzzy Logic Based Analysis of Dissolved Decay Contents in Transformer Oil

2019 ◽  
pp. 361-385
Author(s):  
Nitika Ghosh ◽  
Vikas Singh Bhadoria ◽  
Ram Naresh Sharma ◽  
Vivek Shrivastava
Keyword(s):  
Fuzzy Logic ◽  
Transformer Oil

A Novel Fuzzy-Logic Approach for Furan Estimation in Transformer Oil

2012 ◽  
Vol 27 (2) ◽  
pp. 469-474 ◽  
Author(s):  
A. Abu-Siada ◽  
Sin P. Lai ◽  
Syed M. Islam
Keyword(s):  
Fuzzy Logic ◽  
Transformer Oil ◽  
Fuzzy Logic Approach ◽  
Logic Approach

Oil health index calculation and incipient fault diagnosis in power transformers using fuzzy logic

2022 ◽  
Vol 64 (1) ◽  
pp. 28-37
Author(s):  
T Manoj ◽  
C Ranga
Keyword(s):  
Fuzzy Logic ◽  
Logic Model ◽  
Transformer Oil ◽  
Power Transformers ◽  
Dissolved Gases ◽  
Health Index ◽  
Fuzzy Logic Model ◽  
Proposed Model ◽  
Incipient Faults ◽  
Incipient Fault

In this paper, a new fuzzy logic (FL) model is proposed for assessing the health status of power transformers. In addition, the detection of incipient faults is achieved where two or more faults exist simultaneously. The process is carried out by integrating a fuzzy logic model with the conventional International Electric Committee (IEC) ratio codes method. As transformer oil insulation deteriorates, excess percentages of dissolved gases such as hydrogen, methane, ethane, acetylene and ethylene are induced within the trasnformer. The status of oil health is generally assessed using these gas concentrations. Therefore, in the proposed model, 31 fuzzy rules are designed based on the severity levels of these gases in order to determine the health index (HI) of the oil. Similarly, any incipient faults along with their severity are also detected using the proposed fuzzy logic model with 22 expert rules. To validate the proposed fuzzy logic model, the data for dissolved gases in 50 working transformers operated by the Himachal Pradesh State Electricity Board (HPSEB), India, are collected. Over the years, calculations for the health index have been performed using conventional dissolved gas analysis (DGA) interpretation methods. The shortcomings of these methods, such as non-reliability and inaccuracy, are successfully overcome using the proposed model. The detection of incipient faults is normally performed using key gas, Rogers ratios, the Duval triangle, Dornenburg ratios, modified Rogers ratios and the IEC ratio codes methods. The shortcomings of these conventional ratio code methods in identifying incipient faults in some typical cases, ie multiple incipient fault cases, are overcome by the proposed fuzzy logic model.

scholarly journals An Alternative Approach for Oil-immersed High Voltage Power Transformer Dissolved Gas Analysis Diagnostic Techniques

2019 ◽  
Vol 18 (2) ◽  
pp. 1-7
Author(s):  
Ahmad Karimi Mehrabadi ◽  
Asaad Shemshadi ◽  
Hossein Shateri
Keyword(s):  
Fuzzy Logic ◽  
Power Transformer ◽  
Diagnostic Techniques ◽  
Inference Engine ◽  
Gas Analysis ◽  
Transformer Oil ◽  
Power Transformers ◽  
Fuzzy Logic Inference ◽  
Triangle Method ◽  
Logic Inference

This article presents alternative analyzing method of extracted dissolved gases related to insulating oil of power transformers. Analysis of soluble and free gas is one of the most commonly used troubleshooting methods for detecting and evaluating equipment damage. Although the analysis of oil-soluble gases is often complex, it should be expertly processed during maintenance operation. The destruction of the transformer oil will produce some hydrocarbon type gases. The development of this index is based on two examples of traditional evaluation algorithms along with fuzzy logic inference engine. Through simulation process, the results of the initial fractures in the transformer are obtained in two ways by the "Duval Triangle method” and "Rogers’s ratios". In continue, three digit codes containing the fault information are created based on the fuzzy logic inference engine to achieve better results and eliminate ambiguous zones in commonly used methods, especially in the “Duval Triangle method”. The proposed method is applied to 80 real transformers to diagnose the fault by analyzing the dissolved oil based on fuzzy logic. The results illustrate the proficiency of this alternative proposed algorithm. Finally, with utilization of a neural network the alternative practical inference function is derived to make the algorithm more usable in the online condition monitoring of power transformers.

scholarly journals UV/VIS Response Based Fuzzy Logic for Health Assessment of Transformer Oil

2012 ◽  
Vol 30 ◽  
pp. 905-912 ◽  
Author(s):  
Hasmat Malik ◽  
Surinder Singh ◽  
Mantosh Kr ◽  
R.K. Jarial
Keyword(s):  
Fuzzy Logic ◽  
Health Assessment ◽  
Transformer Oil
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