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Transformer failure diagnosis by different rule extraction method: a review
2018
International Journal of Advanced Technology and Engineering Exploration
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Conflicts of interest The authors have no conflicts of interest to declare. ...
Their proposed approach is the combination of data mining and the self-organizing map.They have presented an association rule mining (ARM)-based DGA approach to fault diagnosis of power transformers. ...
can be used to
classify the data in the
related faults.
7
[36]
Association Rule Mining-
Based Dissolved Gas
Analysis
International Journal of Advanced Technology and Engineering Exploration ...
doi:10.19101/ijatee.2018.538002
fatcat:6sdwolu6jjhwlasvtl3tl4m4iy
Review of Artificial Intelligence Techniques Application to Dissolved Gas Analysis on Power Transformer
2011
International Journal of Computer and Electrical Engineering
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Transformers are a critical part of an electrical utility's asset base. ...
ACKNOWLEDGMENT The authors are thankful to Technology Information Forecasting and Assessment Council and Centers of Relevance & Excellence (TIFAC-CORE) on Power Transformer Diagnostics and Dr. R. K. ...
Jarial, Associate Professor and Office-in-charge, HV Lab, NIT Hamirpur for providing necessary infrastructural facilities for carrying out the research work. ...
doi:10.7763/ijcee.2011.v3.383
fatcat:lfdbx6ijkngbjmxolw6iou4yqm
Fault diagnosis of transformer using association rule mining and knowledge base
2010
2010 10th International Conference on Intelligent Systems Design and Applications
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In this paper, an approach based on association rule and knowledge base is proposed and implemented in the fault diagnosis of a transformer system. ...
According to the features of association rule, the Apriori algorithm is adopted and modified to generate decision rules from power transformer information for building knowledge base, then the rules can ...
Fault Diagnosis of Transformer using Association Rule Mining and Knowledge Base The power transformer is a major apparatus in a power system. ...
doi:10.1109/isda.2010.5687177
dblp:conf/isda/ZhangLZD10
fatcat:ht35alyogravpcg5fs4qxwjghe
A Failure Probability Calculation Method for Power Equipment Based on Multi-Characteristic Parameters
2017
Energies
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To calculate the membership functions of parameters for each failure mode, the Apriori algorithm is chosen to mine the association rules between parameters and failure modes. ...
Although traditional fault diagnosis methods can qualitatively identify the failure modes for power equipment, it is difficult to evaluate the failure probability quantitatively. ...
Yi Yang and Yujie Geng prepared the data for the paper.
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/en10050704
fatcat:qlfs2dqmtjda3o4lievtqdsmaa
Data-driven Fault Diagnosis of Power Transformers using Dissolved Gas Analysis (DGA)
2020
International Journal of Technology
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Dissolved gas analysis (DGA) remains one of the most effective techniques to monitor the health of oil-filled transformers. Some traditional approaches for interpreting DGAs have been introduced. ...
This study proposed data-driven approaches for a fault diagnosis system based on DGA data using support vector machine (SVM). ...
Association Rule Mining-based Dissolved Gas Analysis for Fault Diagnosis of Power Transformers. ...
doi:10.14716/ijtech.v11i2.3625
doaj:b86afe8988d04d28af421c1ae4b4880e
fatcat:jozwnbipqzb5fmn42byi7qbm2q
Dissolved Gas Analysis Principle-Based Intelligent Approaches to Fault Diagnosis and Decision Making for Large Oil-Immersed Power Transformers: A Survey
2018
Energies
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intelligent approaches applied in fault diagnosis and decision making for large oil-immersed power transformers based on dissolved gas analysis (DGA), including expert system (EPS), artificial neural ...
references and guidance for researchers to choose optimal approach to achieve DGA-based fault diagnosis and decision of the large oil-immersed power transformers in preventive electrical tests. ...
In essence, the application of AI for transformer fault diagnosis is fundamentally still based on the analysis of the content of dissolved gas in transformer oil. ...
doi:10.3390/en11040913
fatcat:5abufqmt7rcrlkquxncgxame2m
Research on Fault Diagnosis of Launch Vehicle's Power Transformation and Transmission System Based on Big Data
2021
Mathematical Problems in Engineering
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Therefore, the fault diagnosis method of power transmission and transformation system based on big data can both effectively obtain the inherent laws of historical data and realize more accurate fault ...
There are many types of faults in power transmission and transformation systems. ...
Conflicts of Interest e authors declare that they have no conflicts of interest regarding the publication of this paper. ...
doi:10.1155/2021/3108000
fatcat:5hldc6q4qfej7bjayxxotm2hqm
Application Of Artificial Intelligence Techniques For Dissolved Gas Analysis Of Transformers-A Review
2010
Zenodo
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The Dissolved Gas Analysis has been widely used by utilities throughout the world as the primarily diagnostic tool for transformer maintenance. ...
The gases generated in oil filled transformers can be used for qualitative determination of incipient faults. ...
Su et al. developed a fuzzy dissolved gas analysis method for diagnosis of multiple incipient faults in a transformer [12] . ...
doi:10.5281/zenodo.1081099
fatcat:biijifyswbgfne6w6wqlso65mm
Transformer Fault diagnosing method based on Extenics and Rough Set theory
2014
International Journal of Security and Its Applications
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Using the dissolved gas data as fault diagnosing attribution set, attributions which are needed for transformer fault diagnosis are predigested and preliminarily grouped by means of rough set method, and ...
With the transformer's standard fault modes as the transformer's fault diagnosing decision set, utilizing extenics association function to calculate each fault degree, acceptance and rejection rule is ...
A multi-level decision making model for power transformer fault diagnosis based on Support Vector machine is proposed in [4] . ...
doi:10.14257/ijsia.2014.8.5.07
fatcat:2kqsbgnahrdj3o75vkghrhjz24
Rapid Transformer Health State Recognition through Canopy Cluster-Merging of Dissolved Gas Data in High-Dimensional Space
2019
IEEE Access
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Dissolved gases in oil are major parameters for assessing the health state of power transformers. ...
Applying the state recognition rules and matching with the established abnormal event base, the health state of the transformer could be rapidly recognized. ...
[10] mined the association rule based on a probabilistic graph model to recognize the abnormality of dissolved gases of the transformer. Yang et al. ...
doi:10.1109/access.2019.2928628
fatcat:2mwpt2522jco5ov3zy5hix22ri
Prognostic and Health Management of Active Assets in Nuclear Power Plants
2015
International Journal of Prognostics and Health Management
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This paper presents the development of diagnostic and prognostic capabilities for active assets in nuclear power plants (NPPs). ...
Knowledge of the operating condition of plant asset gained from diagnosis and prognosis is critical for the safe, productive, and economical long-term operation of the current fleet of NPPs. ...
We thank Bhavin Desai and Wayne Johnson (EPRI) for their time and efforts validating the generator step-up transformer fault signatures. ...
doi:10.36001/ijphm.2015.v6i3.2270
doaj:9f7738954f1548219881d6aa906ba49a
fatcat:mcgigzt5szeffo4gzsjcbwrf6u
Database Systems for the Smart Grid
[chapter]
2013
Green Energy and Technology
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The uses of database management and data mining for the electrical power grid comprising of the interrelated subsystems of power generation, transmission, distribution, and utilization are discussed. ...
In this chapter, two aspects of database systems, namely database management and data mining, for the smart grid are covered. ...
research project titled "Data Mining for Smart Grids". ...
doi:10.1007/978-1-4471-5210-1_7
fatcat:ct7bfrxni5gkpk2oj67o4ahxsy
A Combined Fault Diagnosis Method for Power Transformer in Big Data Environment
2017
Mathematical Problems in Engineering
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The fault diagnosis method based on dissolved gas analysis (DGA) is of great significance to detect the potential faults of the transformer and improve the security of the power system. ...
Then, the training and deployment strategy of the combined diagnosis model is designed based on Storm and Spark platform, which provides a solution for the transformer fault diagnosis in big data environment ...
Acknowledgments This work was supported by the National Natural Science Fund (51677072) and the Fundamental Research Funds for the Central Universities (2014MS132). ...
doi:10.1155/2017/9670290
fatcat:tgxsrmw4f5bwxnjaw2rrzzsama
Predictive Data Mining Techniques for Fault Diagnosis of Electric Equipment: A Review
2020
Applied Sciences
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This document provides a review of the predictive data mining techniques used for the diagnosis and detection of faults in electric equipment, which constitutes the pillar of any industrialized country ...
through the analysis and discovery of knowledge. ...
For transformers, Islam et al. [50] present the diagnosis of several transformer faults using dissolved gas in oil analysis (DGA) and an FLS for its interpretation. ...
doi:10.3390/app10030950
fatcat:bgp74acuvjd6fmzffyvkrbks2m
Method for Detection of Developing Defects in High-Voltage Power Transformers by Results of the Analysis of Dissolved Oil Gases
2018
Acta Electrotechnica et Informatica
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The article describes a method for detecting developing defects in high-power oil-filled transformers, based on the results of analysis of dissolved gases in oil. ...
Keywords: dissolved gas analysis, interpretation of transformer faults, dependency of concentrations of gases on time of operating, trend, correlation, the rule of taking a decision ...
INTRODUCTION Currently, one of the most common methods of diagnosis of the condition of high voltage power transformers is analysis of gases dissolved in oil (DGA). ...
doi:10.15546/aeei-2018-0002
fatcat:54qofmx5lnbj7ir3q5weanxdry
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