Support Vector Machine-Based Fault Diagnosis of Power Transformer Using k Nearest-Neighbor Imputed DGA Dataset

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ISSN Print: 2327-5219
ISSN Online: 2327-5227

Website: https://www.scirp.org/journal/jcc
E-mail: jcc@scirp.org

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Submission

"Support Vector Machine-Based Fault Diagnosis of Power Transformer Using k Nearest-Neighbor Imputed DGA Dataset"
written by Zahriah Binti Sahri, Rubiyah Binti Yusof,
published by Journal of Computer and Communications, Vol.2 No.9, 2014

has been cited by the following article(s):

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[1]	Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches 2021 DOI:10.1016/B978-0-12-819365-5.00007-3

[2]	Fault diagnosis of power transformer based on tree ensemble model IOP Conference Series: Materials Science and Engineering, 2020 DOI:10.1088/1757-899X/715/1/012032

[3]	Analysis of local binary pattern using uniform bins as palm vein pattern descriptor Journal of Physics: Conference Series, 2020 DOI:10.1088/1742-6596/1502/1/012043

[4]	Comparative Analysis of the Defect Type Recognition Reliability in High-Voltage Power Transformers Using Different Methods of DGA Results Interpretation 2020 IEEE Problems of Automated Electrodrive. Theory and Practice (PAEP), 2020 DOI:10.1109/PAEP49887.2020.9240911

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[6]	Analysis of Gas Content in Oil-Filled Equipment with Spark Discharges and Discharges with High Energy Density Transactions on Electrical and Electronic Materials, 2019 DOI:10.1007/s42341-019-00124-8

[7]	Transformer Fault Diagnosis Model Based on Iterative Nearest Neighbor Interpolation and Ensemble Learning Proceedings of the 2019 2nd International Conference on Data Science and Information Technology - DSIT 2019, 2019 DOI:10.1145/3352411.3352434

[8]	Transformer Fault Diagnosis based on Deep Brief Sparse Autoencoder 2019 Chinese Control Conference (CCC), 2019 DOI:10.23919/ChiCC.2019.8866347

[9]	Imputation Method of Missing Values for Dissolved Gas Analysis Data Based on Iterative KNN and XGBoost Proceedings of the 2018 International Conference on Algorithms, Computing and Artificial Intelligence - ACAI 2018, 2018 DOI:10.1145/3302425.3302447

[10]	Advances in Smart Vehicular Technology, Transportation, Communication and Applications Smart Innovation, Systems and Technologies, 2018 DOI:10.1007/978-3-319-70730-3_20

[11]	Dissolved gas analysis of transformer oil based on Deep Belief Networks 2018 12th International Conference on the Properties and Applications of Dielectric Materials (ICPADM), 2018 DOI:10.1109/ICPADM.2018.8401156

[12]	Dissolved Gas Analysis of power transformer using K-means and Support Vector Machine 2016 IEEE 1st International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), 2016 DOI:10.1109/ICPEICES.2016.7853614

[13]	A Survey of Fault Diagnosis and Fault-Tolerant Techniques Part II: Fault Diagnosis with Knowledge-Based and Hybrid/Active Approaches IEEE Transactions on Industrial Electronics, 2015 DOI:10.1109/TIE.2015.2419013

[14]	A New Approach with Three Dimension Figure and ANSI/IEEE C57.104 Standard Rule Diagnoses Transformer’s Insulating Oil Engineering, 2014 DOI:10.4236/eng.2014.612078