0% Complete
Home
/
13th International Conference on Computer and Knowledge Engineering
A New Application of Machine Learning Based Methods for Disk Space Variation Fault Diagnosis in Transformer Windings
Authors :
Reza Behkam
1
Amir Lotfi
2
Gevork B. Gharehpetian
3
1- Amirkabir university of technology
2- University of Waterloo
3- Amirkabir university of technology
Keywords :
Power transformer،disk space variation (DSV)،machine learning (ML)،frequency response analysis (FRA)،classification
Abstract :
Frequency response analysis (FRA) is an excellent technique to identify mechanical defects in power transformer windings. In this research, disk space variation (DSV), one of the most prevalent transformer winding faults, is considered on a 1.6 MVA distribution transformer with 20 kV windings in different locations, with various severities, and the corresponding FRA results are measured and computed. All four frequency response components (amplitude, phase, real, and imaginary) are explored in this study's dataset. The constructed dataset is utilized to predict DSV faults using trained Decision Tree, Random Forest, SVM Linear, SVM Polynomial, and XGBoost. The applied new machine learning (ML) approaches for interpreting FRA results are used to extract essential features from frequency response traces in order to detect the position and intensity of DSV in the transformer windings. The experimental results confirm the effectiveness of the proposed intelligent methods, which can predict fault location and extent with 93.5% and 100% accuracy in validation and test datasets, respectively.
Papers List
List of archived papers
Detecting Non-Spherical Clusters Using Modified CURE Algorithm
Arezou Safdari - Pedram Salehpour
Sum Rate Analysis and Power Allocation in Massive MIMO Systems with Power Constraints
Abdolrasoul Sakhaei Gharagezlou - Mahdi Nangir
A New Hypercube Variant: Pruned Shuffle Connected Cube
Reza Latifi - Mahmoud Naghibzadeh
Improving ADHD Detection with Cost-Sensitive LightGBM
Behnam Yousefimehr - Mehdi Ghatee - Ali Heydari
Automated Person Identification from Hand Images\\using Hierarchical Vision Transformer Network
Zahra Ebrahimian - Seyed Ali Mirsharji - Ramin Toosi - Mohammad Ali Akhaee
Reversible Data Insertion in Encryption Domain Based on Reduced Quad Difference Expansion
Alireza Ghaemi - Mohammad Zare Ehteshami - Amirhossein Ghaemi
Hybrid navigation based on GPS data and SIFT-based place recognition using Biologically-inspired SLAM
Sahar Salimpour Kasebi - Hadi Seyedarabi - Javad Musevi Niya
Impossible differential and zero-correlatin linear cryptanalysis of Marx, Marx2, Chaskey andSpeck32
Mahshid Saberi - Nasour Bagheri - Sadegh Sadeghi
Design and Simulation of a Low PDP Full Adder by Combining Majority Function and TGDI Technique in CNTFET Technology
Mahsa Mohammadi
LPCNet: Lane detection by lane points correction network in challenging environments based on deep learning
Sina BaniasadAzad - Seyed Mohammadreza Mousavi mirkolaei
more
Samin Hamayesh - Version 41.5.3