AN INTELLIGENT TECHNIQUE FOR THE HEALTH ASSESSMENT OF POWER TRANSFORMER USING THERMAL IMAGING

2021 ◽  
Vol 41 (1) ◽  
Keyword(s):  
Thermal Imaging ◽  
Power Transformer ◽  
Health Assessment ◽  
Intelligent Technique

scholarly journals Research into Power Transformer Health Assessment Technology Based on Uncertainty of Information and Deep Architecture Design

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Shuguo Gao ◽  
Jun Zhao ◽  
Yunpeng Liu ◽  
Ziqiang Xu ◽  
Zhe Li ◽  
...  
Keyword(s):  
Power Transformer ◽  
Cloud Model ◽  
Health Assessment ◽  
Assessment Method ◽  
Actual Case ◽  
Defect Type ◽  
Defect Location ◽  
Deep Architecture ◽  
High Conflict

The uncertainty of the evaluation information is likely to affect the accuracy of the evaluation, when conducting a health evaluation of a power transformer. A multilevel health assessment method for power transformers is proposed in view of the three aspects of indicator criterion uncertainty, weight uncertainty, and fusion uncertainty. Firstly, indicator selection is conducted through the transformer guidelines and engineering experience to establish a multilevel model of transformers that can reflect the defect type and defect location. Then, a Gaussian cloud model is used to solve the uncertainty of the indicator criterion boundary. Based on association rules, AHP, and variable weights, the processed weights are calculated from the update module to obtain comprehensive weights, which overcomes the uncertainty of the weights. Improved DSmT theory is used for multiple evidence fusion to solve the high conflict and uncertainty problems in the fusion process. Finally, through actual case analysis, the defect type, defect location, and overall state of the transformer of the device are obtained. By comparing with many defect cases in a case-study library, the evaluation accuracy rate is found to reach 96.21%, which verifies the practicability and efficiency of the method.

scholarly journals ASSESS THE RISK LEVEL OF POWER TRANSFORMER DUE SHORT-CIRCUIT FAULTS BASED ON ANFIS

SINERGI ◽  
2019 ◽  
Vol 23 (2) ◽  
pp. 99
Author(s):  
Azriyenni Azhari Zakri ◽  
Mohd Wazir Mustafa ◽  
Hari Firdaus ◽  
Ibim Sofimieari
Keyword(s):  
Power Systems ◽  
Power Distribution ◽  
Fuzzy Inference ◽  
Power Transformer ◽  
Short Circuit ◽  
Electrical Power ◽  
Power Transformers ◽  
Risk Level ◽  
Electrical Machine ◽  
Intelligent Technique

A power transformer is an electrical machine that converts electrical power at different voltage levels. Faults, occur in power transformers, inhibit electrical power distribution to the consumer. Protection, therefore, of the power transformers is essential in power systems reliability. The power system can be reliable if the protection devices work well when there is a fault. A hybrid intelligent technique, which is a combination of Artificial Neural Network (ANN) and Fuzzy known as Adaptive Neuro-Fuzzy Inference Systems (ANFIS), was used in this research. The objective of this paper is the simulation of differential relays as a protection device on power transformers using Matlab/Simulink. Performance of differential relays for power transformers protection is carried out with internal and external fault scenarios. The input data were classified into three different input for ANFIS such as internal and external 1, internal and external 2, internal, external 1, and external 2, respectively. The error results of ANFIS training for the type of fault internal and external 1 is 9.46*10-7, and types of fault internal and external 2 is 1.09*10-6 internal, external 1 and external 2 are 8.59*10-7. The results obtained from the simulation were accurate and shows that the ANFIS technique is an efficient method that gives less error and a great value. Finally, the technique can minimize faults with power transformers. Finally, to prove this method can reduce faults in the power transformer, the assess of this model has been carried out through the RMSE that has been generated which is zero.

DGA-Based Health Assessment of a 20 MVA Power Transformer

2022 ◽  
pp. 779-783
Author(s):  
Naveen Kumar Sharma ◽  
Anuj Banshwar ◽  
Bharat Bhushan Sharma ◽  
Mohit Pathak ◽  
Sujit Kumar
Keyword(s):  
Power Transformer ◽  
Health Assessment

scholarly journals Application of Acoustic Emission and Thermal Imaging to Test Oil Power Transformers

Energies ◽  
2020 ◽  
Vol 13 (22) ◽  
pp. 5955
Author(s):  
Franciszek Witos ◽  
Aneta Olszewska ◽  
Zbigniew Opilski ◽  
Agnieszka Lisowska-Lis ◽  
Grzegorz Szerszeń
Keyword(s):  
Acoustic Emission ◽  
Thermal Imaging ◽  
Research Method ◽  
Power Transformer ◽  
Partial Discharges ◽  
Power Transformers ◽  
Imaging Studies ◽  
Ir Radiation ◽  
Side Walls ◽  
Ae Signals

In this paper, the research methodology and the results of the analysis carried out using the acoustic emission (AE) and thermal imaging for a selected oil power transformer are presented. The basis for the research, by means of the AE method, was the author’s patented research method. The AE descriptor maps on the side walls of the tested transformer along with the location of areas with increased AE activity and an analysis of the properties of AE signals recorded at the measurement points located in these areas have been performed. The results showed no partial discharges that could threaten further operation of the tested transformer as well as three areas where increased magnetoacoustic emission occurred. Thermal imaging studies were carried out in the 7.5 μm < λ < 13 μm band. Three areas were located on the calculated thermograms: the entire upper surface of the transformer tank and two areas on the side walls of the tested transformer in which increased IR radiation occurred. The results of the analysis of the research results for the two methods correspond with each other, having a common part, and complement each other giving a broader description of studied phenomena.

An Evaluation of Different Health Assessment Methods on 50 MVA Power Transformer: A Case Study

2020 ◽  
Author(s):  
Alok Patel ◽  
Naveen Kumar Sharma ◽  
Anuj Banshwar ◽  
Bharat Bhushan Sharma ◽  
Mohit Pathak
Keyword(s):  
Power Transformer ◽  
Health Assessment ◽  
Assessment Methods
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