Power Transformer Fault Diagnosis Using Neural Network Optimization Techniques

Power Transformer Fault Diagnosis Using Neural Network Optimization Techniques

Artificial Intelligence (AI) techniques are considered the most advanced approaches for diagnosing faults in power transformers. Dissolved Gas Analysis (DGA) is the conventional approach widely adopted for diagnosing incipient faults in power transformers. The IEC-599 standard Ratio Method is an acc...

Full description

Bibliographic Details
Main Authors:	Vasiliki Rokani, Stavros D. Kaminaris, Petros Karaisas, Dimitrios Kaminaris
Format:	Article
Language:	English
Published:	MDPI AG 2023-11-01
Series:	Mathematics
Subjects:	power transformers fault diagnosis DGA ANN MATLAB neural network optimization
Online Access:	https://www.mdpi.com/2227-7390/11/22/4693

Similar Items

Conventional Dissolved Gases Analysis in Power Transformers: Review
by: Alcebíades Rangel Bessa, et al.
Published: (2023-10-01)

Accuracy Improvement of Transformer Faults Diagnostic Based on DGA Data Using SVM-BA Classifier
by: Youcef Benmahamed, et al.
Published: (2021-05-01)

Research on gas production law of free gas in oil-immersed power transformer under discharge fault of different severity
by: Xiu Zhou, et al.
Published: (2023-01-01)

A novel SVM-based decision framework considering feature distribution for Power Transformer Fault Diagnosis
by: Lucheng Hong, et al.
Published: (2022-11-01)

Power Transformer Fault Diagnosis Based on Improved BP Neural Network
by: Yongshuang Jin, et al.
Published: (2023-08-01)

Dissolved Gas Analysis and Application of Artificial Intelligence Technique for Fault Diagnosis in Power Transformers: A South African Case Study
by: Bonginkosi A. Thango
Published: (2022-11-01)

Condition Forecasting of a Power Transformer Based on an Online Monitor with EL-CSO-ANN
by: Jingmin Fan, et al.
Published: (2022-11-01)

Power Transformer Diagnosis Based on Dissolved Gases Analysis and Copula Function
by: Xiaoqin Zhang, et al.
Published: (2022-06-01)

A Novel Fault Diagnosis Method for a Power Transformer Based on Multi-Scale Approximate Entropy and Optimized Convolutional Networks
by: Haikun Shang, et al.
Published: (2024-02-01)

Fault diagnosis of high-speed rotating machines using MATLAB
by: Mahesh B. Joshi, et al.
Published: (2023-04-01)

Combined Duval Pentagons: A Simplified Approach
by: Luiz Cheim, et al.
Published: (2020-06-01)

Fault Investigation in Cascaded H-Bridge Multilevel Inverter through Fast Fourier Transform and Artificial Neural Network Approach
by: G. Kiran Kumar, et al.
Published: (2020-03-01)

On the Application of Artificial Neural Network for Classification of Incipient Faults in Dissolved Gas Analysis of Power Transformers
by: Bonginkosi A. Thango
Published: (2022-09-01)

Comparison of Dissolved Gases in Mineral and Vegetable Insulating Oils under Typical Electrical and Thermal Faults
by: Chenmeng Xiang, et al.
Published: (2016-04-01)

Incipient Fault Diagnosis of a Grid-Connected T-Type Multilevel Inverter Using Multilayer Perceptron and Walsh Transform
by: Tito G. Amaral, et al.
Published: (2023-03-01)

Sensor Data-Driven Bearing Fault Diagnosis Based on Deep Convolutional Neural Networks and S-Transform
by: Guoqiang Li, et al.
Published: (2019-06-01)

Adaptive Fault Diagnosis for Simultaneous Sensor Faults in Structural Health Monitoring Systems
by: Thamer Al-Zuriqat, et al.
Published: (2023-02-01)

An Intelligent Fault Diagnosis Approach for Multirotor UAVs Based on Deep Neural Network of Multi-Resolution Transform Features
by: Luttfi A. Al-Haddad, et al.
Published: (2023-01-01)

Photovoltaic system faults diagnosis using discrete wavelet transform based artificial neural networks
by: A. A. Bengharbi, et al.
Published: (2022-11-01)

Inverter fault diagnosis based on Fourier transform and evolutionary neural network
by: Hongxin Yang, et al.
Published: (2023-01-01)

Convolutional Neural Network-Based Transformer Fault Diagnosis Using Vibration Signals
by: Chao Li, et al.
Published: (2023-05-01)

A Novel Fault Diagnosis Method of Rolling Bearings Combining Convolutional Neural Network and Transformer
by: Wenkai Liu, et al.
Published: (2023-04-01)

An Efficient Protection Scheme Against Single-Phasing Fault for Three-Phase Induction Motor
by: Ahmed Dawood, et al.
Published: (2024-01-01)

Intelligent fault diagnosis of power transmission line using fuzzy logic and artificial neural network
by: Khaled Omer Mokhtar Touati, et al.
Published: (2022-11-01)

A Dynamic Adam Based Deep Neural Network for Fault Diagnosis of Oil-Immersed Power Transformers
by: Minghui Ou, et al.
Published: (2019-03-01)

Power Transformer Fault Diagnosis Based on Dissolved Gas Analysis by Correlation Coefficient-DBSCAN
by: Yongxin Liu, et al.
Published: (2020-06-01)

Integrated Gradient-Based Continuous Wavelet Transform for Bearing Fault Diagnosis
by: Junfei Du, et al.
Published: (2022-11-01)

Power transformer fault diagnosis considering data imbalance and data set fusion
by: Yang Zhang, et al.
Published: (2021-06-01)

Power Transformer fault Diagnosis based on Hybrid Intelligent Algorithm
by: Yong Xu, et al.
Published: (2023-08-01)

The Early Diagnosis of Rolling Bearings’ Faults Using Fractional Fourier Transform Information Fusion and a Lightweight Neural Network
by: Fengyun Xie, et al.
Published: (2023-12-01)

Gearbox Compound Fault Diagnosis in Edge-IoT Based on Legendre Multiwavelet Transform and Convolutional Neural Network
by: Xiaoyang Zheng, et al.
Published: (2023-10-01)

Fault diagnosis of steam power system based on convolutional neural network
by: Jian SU, et al.
Published: (2022-12-01)

Transformer Fault Diagnosis Method Based on TimesNet and Informer
by: Xin Zhang, et al.
Published: (2024-02-01)

The Performance of Electronic Current Transformer Fault Diagnosis Model: Using an Improved Whale Optimization Algorithm and RBF Neural Network
by: Pengju Yang, et al.
Published: (2023-02-01)

Research on Fault Diagnosis of Rolling Bearing based on Synchrosqueezing Extracting Transform
by: Qi Liu, et al.
Published: (2021-01-01)

A Combined Short Time Fourier Transform and Image Classification Transformer Model for Rolling Element Bearings Fault Diagnosis in Electric Motors
by: Christos T. Alexakos, et al.
Published: (2021-02-01)

Application of Rough Set in Fault Diagnosis of Power Transformer
by: LI Hong, et al.
Published: (2011-03-01)

DIAGNOSIS OF INDUCTION MOTOR BEARING DEFECT USING DISCRETE WAVELET TRANSFORM AND ARTIFICIAL NEURAL NETWORK
by: Gigih Priyandoko, et al.
Published: (2020-11-01)

Classification Method in Fault Diagnosis of Oil-Immersed Power Transformers by Considering Dissolved Gas Analysis
by: Mauridhi Hery Purnomo, et al.
Published: (2022-12-01)

Neural bearing faults classifier using inputs based on Fourier and wavelet packet transforms
by: Víctor Gómez, et al.
Published: (2013-08-01)