A decision tree approach for power transformer insulation fault diagnosis

2008 7th World Congress on Intelligent Control and Automation ◽

10.1109/wcica.2008.4593980 ◽

2008 ◽

Author(s):

Feng Zhao ◽

Hongsheng Su

Keyword(s):

Fault Diagnosis ◽

Decision Tree ◽

Power Transformer ◽

Transformer Insulation ◽

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A new decision tree approach of support vector machine for analog circuit fault diagnosis

Analog Integrated Circuits and Signal Processing ◽

10.1007/s10470-016-0775-4 ◽

2016 ◽

Vol 88 (3) ◽

pp. 455-463 ◽

Author(s):

Qingfeng Ma ◽

Yuzhu He ◽

Fuqiang Zhou

Keyword(s):

Support Vector Machine ◽

Fault Diagnosis ◽

Decision Tree ◽

Analog Circuit ◽

Support Vector ◽

Circuit Fault Diagnosis ◽

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Remote fault diagnosis system for power transformer insulation based on RIA model

2016 IEEE International Conference on High Voltage Engineering and Application (ICHVE) ◽

10.1109/ichve.2016.7800679 ◽

2016 ◽

Author(s):

Mingjun Liu ◽

Peng Wang ◽

Qiukuan Zhou ◽

Chen Kang

Keyword(s):

Fault Diagnosis ◽

Power Transformer ◽

Diagnosis System ◽

Fault Diagnosis System ◽

Transformer Insulation ◽

Remote Fault Diagnosis

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Fault Diagnosis of Power Transformer Insulation Based on Fuzzy Normal Partition and Logic Reasoning

2007 International Conference on Machine Learning and Cybernetics ◽

10.1109/icmlc.2007.4370304 ◽

2007 ◽

Author(s):

Li Xie ◽

Long Zhou ◽

Xiao-Jun Tong ◽

Mian-Yun Chen

Keyword(s):

Fault Diagnosis ◽

Power Transformer ◽

Transformer Insulation ◽

Logic Reasoning

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Power transformer protection based on decision tree approach

IET Electric Power Applications ◽

10.1049/iet-epa.2013.0407 ◽

2014 ◽

Vol 8 (7) ◽

pp. 251-256 ◽

Author(s):

Okan Ozgonenel ◽

Serap Karagol

Keyword(s):

Decision Tree ◽

Power Transformer ◽

Transformer Protection ◽

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Individual differences in mammogram compliance: A decision-tree approach

PsycEXTRA Dataset ◽

10.1037/e514472015-401 ◽

2014 ◽

Author(s):

Celia K. Naivar Sen ◽

G. Tarcan Kumkale

Keyword(s):

Individual Differences ◽

Decision Tree ◽

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Improved PSO-BP neural network for power transformer fault diagnosis

Journal of Computer Applications ◽

10.3724/sp.j.1087.2010.00783 ◽

2010 ◽

Vol 30 (3) ◽

pp. 783-785 ◽

Author(s):

Zhong-yang XIONG ◽

Qing-bo YANG ◽

Yu-fang ZHANG

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Bp Neural Network ◽

Power Transformer ◽

Transformer Fault ◽

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A gradient-boosting decision-tree approach for firm failure prediction: an empirical model evaluation of Chinese listed companies

The Journal of Risk Model Validation ◽

10.21314/jrmv.2017.170 ◽

2017 ◽

Vol 11 (2) ◽

pp. 43-64 ◽

Author(s):

Jiaming Liu ◽

Chong Wu

Keyword(s):

Decision Tree ◽

Empirical Model ◽

Model Evaluation ◽

Failure Prediction ◽

Listed Companies ◽

Gradient Boosting ◽

Chinese Listed Companies ◽

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AN EFFICIENT DECISION TREE APPROACH FOR OPINION MINING FROM SKEWED TWITTER CORPUS USING CONFISCATE AND SUBSTITUTE TECHNIQUE

10.21506/j.ponte.2017.1.13 ◽

2017 ◽

Vol 73 (1) ◽

Author(s):

salina adinarayana ◽

E. Ilavarasan

Keyword(s):

Decision Tree ◽

Opinion Mining ◽

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Investigation related to performance parameter estimation of power transformer insulation using interfacial charge

IEEE Transactions on Dielectrics and Electrical Insulation ◽

10.1109/tdei.2020.008498 ◽

2020 ◽

Vol 27 (4) ◽

pp. 1247-1255

Author(s):

D. Mishra ◽

R. Verma ◽

A. Baral ◽

S. Chakravorti

Keyword(s):

Parameter Estimation ◽

Power Transformer ◽

Performance Parameter ◽

Transformer Insulation ◽

Interfacial Charge

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Selection of quantum computing architecture using a decision tree approach

2020 3rd International Conference on Intelligent Sustainable Systems (ICISS) ◽

10.1109/iciss49785.2020.9315893 ◽

2020 ◽

Author(s):

Lalitha Nallamothula

Keyword(s):

Quantum Computing ◽

Decision Tree ◽

Computing Architecture ◽

Tree Approach ◽

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