Dealing With Data Uncertainty for Transformer Insulation System Health Index

Prasojo, Rahman Azis; Suwarno, &; Abu-Siada, A.

doi:10.1109/access.2021.3081699

Cited by 27 publications

(6 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In cases when condition data are not complete, or even when some are unavailable, neither weighted-score-based methods nor those based on ANN, fuzzy logic or regression methods are capable of adequately calculating the health index of the transformer (fleet) of interest. Under such circumstances, probabilistic-based techniques like Monte Carlo simulation and Bayesian belief networks are superior for handling the missing information and uncertainties in transformer health index calculation [49,[95][96][97][98][99][100].…”

Section: Probabilistic Method-based Health Indexmentioning

confidence: 99%

Review of Transformer Health Index from the Perspective of Survivability and Condition Assessment

Cui

et al. 2023

Electronics

View full text Add to dashboard Cite

As a critical indicator for assessing the survivability and condition of transformers in a fleet, the transformer health index has attracted attention from both asset owners and international organizations like CIGRE and IEEE DEIS/PES. To provide a systematic and comprehensive review for further study or to guide transformer asset management, this paper summarizes the state-of-the-art of the transformer health index, from the early proposed weighted-score-sum approaches to the more recently proposed artificial intelligence algorithm-based methods. Firstly, different methods for determining the transformer health index are reviewed. Each of these is specified as belonging to a certain type on the basis of its formulation and composition schematic. Subsequently, the steps to determine each type of health index are summarized, and examples derived from literature are provided for further illustration. Comparisons are finally carried out in order to better understand the pros and cons of different types of transformer health index, and the future development trends for transformer health indexes are also discussed. This work can serve as a valuable reference for the survivability and condition assessment of transformers in the power industry.

show abstract

Section: Probabilistic Method-based Health Indexmentioning

confidence: 99%

Review of Transformer Health Index from the Perspective of Survivability and Condition Assessment

Cui

et al. 2023

Electronics

View full text Add to dashboard Cite

show abstract

“…It will be easier for the government to get closer to the people as a result of the development of social media. The public will be encouraged to participate in democratic practices with actors, including decision-making processes regarding the public interest on certain issues (Prasojo & Abu-Siada, 2021).…”

Section: Implications Of Protest Contentmentioning

confidence: 99%

Connective Action and Digital Activity of The Cipayung Group in Protesting The Increase of Fuel Price

Sinurat

2023

j. gov. soc. politicol.

View full text Add to dashboard Cite

Students who are members of the Kelompok Cipayung organization have not received special attention from academics, especially for their contribution to the establishment of a good citizen. This study discusses how the digital activities carried out by Kelompok Cipayung on social media. The method in this study uses a qualitative descriptive approach with the theoretical framework of connecting action by Bennett and Segerberg. By using content analysis and social media analysis, the research focuses on protests by students of Kelompok Cipayung against the case of rising fuel prices in October 2022. The results of the analysis obtained show that the social protests that appear on social media are a response to the critical economic conditions that are currently happening. In addition, protests that appear on social media have the same period, have similar narratives, and are not directly binding, both between organizations and individuals. Other findings also show that the strategy and objectives of the protests need to be managed transparently.

show abstract

“…This system includes the implementation of continuous condition monitoring and regular maintenance of power transformers. This results in efficiency improvement, service life extension, and optimal performance of transformers [3,4]. In general, a noticeable part of failures in power transformers is primarily caused by their insulation failure [4][5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

An intelligence expert system for quality health monitoring of power transformers using testing attributes

Manoj

Ranga

2023

Eng. Res. Express

View full text Add to dashboard Cite

Power transformers are very vital components in electrical power network. Deterioration of transformer’s insulation has significant impacts on its health condition. Hence, detailed analysis of insulation testing attributes is very important in diagnosing the transformer. It is possible with an effective decision-making system. In the present paper, a new grey relational-based fuzzy logic expert system is proposed for continuous health monitoring of power transformers. In this approach, ranking-based qualitative relational analysis is initially carried out in order to reduce large number of input attributes into three input health grades. These input grades are further integrated with a technically designed expert fuzzy rule base. Outputs of the proposed model are validated with the outputs of multi-criterion based fuzzy logic model presented in Reference [29]. Testing data of 200 in-service transformers are utilised in the validation of both the models. It is observed from the comparison that similarity index of the proposed grey-fuzzy system is 92 percent. Several issues exist in regular transformer health assessment models such as the large number of rules, uncertainties, requirement of large training data, complexity issues are overcome by integrating the grey relational analysis with the fuzzy logic system. The proposed model can be easily implemented by all utilities and diagnostic experts of transformers.

show abstract

Dealing With Data Uncertainty for Transformer Insulation System Health Index

Cited by 27 publications

References 32 publications

Review of Transformer Health Index from the Perspective of Survivability and Condition Assessment

Review of Transformer Health Index from the Perspective of Survivability and Condition Assessment

Connective Action and Digital Activity of The Cipayung Group in Protesting The Increase of Fuel Price

An intelligence expert system for quality health monitoring of power transformers using testing attributes

Contact Info

Product

Resources

About