Imputation Method of Missing Values for Dissolved Gas Analysis Data Based on Iterative KNN and XGBoost

2018 ◽  
Author(s):  
Lin Qiao ◽  
Ran Ran ◽  
He Wu ◽  
Qiaoni Zhou ◽  
Sai Liu ◽  
...  
Keyword(s):  
Missing Values ◽  
Analysis Data ◽  
Gas Analysis ◽  
Imputation Method ◽  
Dissolved Gas ◽  
Dissolved Gas Analysis

scholarly journals Analysis of gas composition in oil-filled faulty equipment with acetylene as the key gas

Energetika ◽  
2019 ◽  
Vol 65 (1) ◽  
Author(s):  
Oleg Shutenko
Keyword(s):  
Comparative Analysis ◽  
High Voltage ◽  
Analysis Data ◽  
Gas Analysis ◽  
Identification Accuracy ◽  
Fault Identification ◽  
Gas Composition ◽  
Dissolved Gas ◽  
Dissolved Gas Analysis ◽  
Identification Technique

The article presents results of oil-dissolved gas analysis for 239 units of high-voltage equipment with faults under which acetylene is the key gas. The analysis revealed 13 types of fault with acetylene as the key gas that are differentiated by values of the dissolved gas ratios, their concentrations, and fault nomographs. For each type of fault, graphic domains are plotted that, unlike the nomographs, allow taking into account a possible coordinate drift. A graphic domain based fault identification technique is introduced. The types of fault are briefly described, examples of their identification by different investigators given. Duval Triangle based comparative analysis of the equipment diagnosis data is performed. It is revealed that diagnoses made by different methods may differ significantly both from each other and from actual diagnoses. The results presented allow increasing fault identification accuracy via dissolved gas analysis data.

Influence of Oil Quality on the Interpretation of Dissolved Gas Analysis Data

2021 ◽  
Author(s):  
Mohammed El Amine Senoussaoui ◽  
Issouf Fofana ◽  
Mostefa Brahami
Keyword(s):  
Oil Quality ◽  
Analysis Data ◽  
Gas Analysis ◽  
Dissolved Gas ◽  
Dissolved Gas Analysis

scholarly journals Towards Precise Interpretation of Oil Transformers via Novel Combined Techniques Based on DGA and Partial Discharge Sensors

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 2223 ◽  
Author(s):  
Sayed A. Ward ◽  
Adel El-Faraskoury ◽  
Mohamed Badawi ◽  
Shimaa A. Ibrahim ◽  
Karar Mahmoud ◽  
...  
Keyword(s):  
Power Transformer ◽  
Partial Discharge ◽  
Electrical Power ◽  
Diagnostic Techniques ◽  
Gas Analysis ◽  
Economic Losses ◽  
Dissolved Gas ◽  
Electricity Transmission ◽  
Dissolved Gas Analysis ◽  
Precise Interpretation

Power transformers are considered important and expensive items in electrical power networks. In this regard, the early discovery of potential faults in transformers considering datasets collected from diverse sensors can guarantee the continuous operation of electrical systems. Indeed, the discontinuity of these transformers is expensive and can lead to excessive economic losses for the power utilities. Dissolved gas analysis (DGA), as well as partial discharge (PD) tests considering different intelligent sensors for the measurement process, are used as diagnostic techniques for detecting the oil insulation level. This paper includes two parts; the first part is about the integration among the diagnosis results of recognized dissolved gas analysis techniques, in this part, the proposed techniques are classified into four techniques. The integration between the different DGA techniques not only improves the oil fault condition monitoring but also overcomes the individual weakness, and this positive feature is proved by using 532 samples from the Egyptian Electricity Transmission Company (EETC). The second part overview the experimental setup for (66/11.86 kV–40 MVA) power transformer which exists in the Egyptian Electricity Transmission Company (EETC), the first section in this part analyzes the dissolved gases concentricity for many samples, and the second section illustrates the measurement of PD particularly in this case study. The results demonstrate that precise interpretation of oil transformers can be provided to system operators, thanks to the combination of the most appropriate techniques.

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