Fault Detection and Classification in Ring Power System With DG Penetration Using Hybrid CNN-LSTM

Fault Detection and Classification in Ring Power System With DG Penetration Using Hybrid CNN-LSTM

A modern electric power system integrated with advanced technologies such as sensors and smart meters is referred to as a “smart grids”, aimed at enhancing electrical power delivery efficiency and reliability. However, fault location and prediction can become challenging when d...

Descripció completa

Dades bibliogràfiques
Autors principals:	Ahmed Sami Alhanaf, Murtaza Farsadi, Hasan Huseyin Balik
Format:	Article
Idioma:	English
Publicat:	IEEE 2024-01-01
Col·lecció:	IEEE Access
Matèries:	Deep learning smart grids fault detection fault classification and location CNN LSTM
Accés en línia:	https://ieeexplore.ieee.org/document/10508728/

Ítems similars

Intelligent Fault Detection and Classification Schemes for Smart Grids Based on Deep Neural Networks
per: Ahmed Sami Alhanaf, et al.
Publicat: (2023-11-01)

Bearing fault diagnosis with parallel CNN and LSTM
per: Guanghua Fu, et al.
Publicat: (2024-01-01)

Research on Wind Turbine Fault Detection Based on CNN-LSTM
per: Lin Qi, et al.
Publicat: (2024-09-01)

Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods
per: Yaseen Ahmed Mohammed Alsumaidaee, et al.
Publicat: (2023-03-01)

Open-Circuit Fault Detection and Classification of Modular Multilevel Converters in High Voltage Direct Current Systems (MMC-HVDC) with Long Short-Term Memory (LSTM) Method
per: Qinghua Wang, et al.
Publicat: (2021-06-01)

Research on CNN-LSTM DC power system fault diagnosis and differential protection strategy based on reinforcement learning
per: Yun Yang, et al.
Publicat: (2023-08-01)

Fault Location for Distribution Smart Grids: Literature Overview, Challenges, Solutions, and Future Trends
per: Jorge De La Cruz, et al.
Publicat: (2023-02-01)

Fault Location Method for Communication Link in Smart Substation Based on Deep Learning
per: Zhiyong PI, et al.
Publicat: (2023-07-01)

Research on Multi-Parameter Fault Early Warning for Marine Diesel Engine Based on PCA-CNN-BiLSTM
per: Yulong Su, et al.
Publicat: (2024-06-01)

Power line fault diagnosis based on convolutional neural networks
per: Liang Ning, et al.
Publicat: (2024-04-01)

A public data-set for synchronous motor electrical faults diagnosis with CNN and LSTM reference classifiers
per: Zhenglong Sun, et al.
Publicat: (2023-10-01)

Fault Detection for Motor Drive Control System of Industrial Robots Using CNN-LSTM-based Observers
per: Tao Wang, et al.
Publicat: (2023-06-01)

Real-time load forecasting model for the smart grid using bayesian optimized CNN-BiLSTM
per: Daohua Zhang, et al.
Publicat: (2023-05-01)

A WOA-CNN-BiLSTM-based multi-feature classification prediction model for smart grid financial markets
per: Guofeng Ni, et al.
Publicat: (2023-05-01)

High Impedance Fault Detection and Location in Combined Overhead Line and Underground Cable Distribution Networks Equipped with Data Loggers
per: Saeid Khavari, et al.
Publicat: (2020-05-01)

Development of an Intelligent Detection Method of DC Series Arc Fault in Photovoltaic System Using Multilayer Perceptron and Bi-Directional Long Short-Term Memory
per: Alaa Hamza Omran, et al.
Publicat: (2023-08-01)

Predictive Maintenance and Fault Detection for Motor Drive Control Systems in Industrial Robots Using CNN-RNN-Based Observers
per: Chanthol Eang, et al.
Publicat: (2024-12-01)

Domain Fusion CNN-LSTM for Short-Term Power Consumption Forecasting
per: Xiaorui Shao, et al.
Publicat: (2020-01-01)

Research on High-Frequency Information-Transmission Method of Smart Grid Based on CNN-LSTM Model
per: Xin Chen
Publicat: (2022-08-01)

Sparse Temporal Data-Driven SSA-CNN-LSTM-Based Fault Prediction of Electromechanical Equipment in Rail Transit Stations
per: Jing Xiong, et al.
Publicat: (2024-09-01)

Multi-Agent-Based Fault Location and Cyber-Attack Detection in Distribution System
per: Aiman J. Albarakati, et al.
Publicat: (2022-12-01)

The Research on Fault Identification of Spatiotemporal Location With Compressed Grid Data Using the Stochastic Sliding Blocks
per: Tao Liu, et al.
Publicat: (2024-01-01)

CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of the High-Voltage Subnet of Northeast Germany
per: Fachrizal Aksan, et al.
Publicat: (2023-01-01)

Breast cancer classification based on hybrid CNN with LSTM model
per: Mourad Kaddes, et al.
Publicat: (2025-02-01)

Prediction of Remaining Useful Life of Aero-engines Based on CNN-LSTM-Attention
per: Sizhe Deng, et al.
Publicat: (2024-09-01)

A Review and Taxonomy on Fault Analysis in Transmission Power Systems
per: Yaser Al Mtawa, et al.
Publicat: (2022-08-01)

Automated fault location scheme for low voltage smart distribution systems
per: Salar Naderi, et al.
Publicat: (2023-12-01)

Fault location using digital relay data /
per: 241509 Mohamad Khairuddin Abdul Rahman
Publicat: (2006)

A Rolling Bearing Fault Diagnosis Method Combining MSSSA-VMD with the Parallel Network of GASF-CNN and BiLSTM
per: Yongzhi Du, et al.
Publicat: (2024-12-01)

Fault Location in Active Distribution Networks Using Improved Whale Optimization Algorithm
per: A. Bahmanyar, et al.
Publicat: (2020-09-01)

Detection of AC Arc Faults of Aviation Cables Based on H-I-W Three-Dimensional Features and CNN-LSTM Neural Network
per: Xiaolin Liu, et al.
Publicat: (2022-01-01)

Fault diagnosis and location of independent sub-module of three-phase MMC based on the optimal deep BiD-LSTM networks
per: Bo Xu, et al.
Publicat: (2022-11-01)

Fault diagnosis in unbalanced radial distribution networks using generalised regression neural network
per: Mirzaei, Maryam
Publicat: (2011)

Fault Diagnosis Method of Forging Press Based on Improved CNN
per: Chao Yuan, et al.
Publicat: (2024-01-01)

A Cost-Effective CNN-LSTM-Based Solution for Predicting Faulty Remote Water Meter Reading Devices in AMI Systems
per: Jaeseung Lee, et al.
Publicat: (2021-09-01)

The Development of Bi-LSTM Based on Fault Diagnosis Scheme in MVDC System
per: Jae-Sung Lim, et al.
Publicat: (2024-09-01)

Combined CNN-LSTM for Enhancing Clean and Noisy Speech Recognition
per: Noussaiba Djeffal, et al.
Publicat: (2024-12-01)

Fault location in unbalanced distribution system including distributed generation units using multi-layer feed forward neural network
per: Farzan, Payam
Publicat: (2014)

FAULT DIAGNOSIS OF WIND TURBINE BEARING BASED ON SENET-RESNEXT-LSTM
per: DU HaoFei, et al.
Publicat: (2023-12-01)

Flywheel Fault Prediction Algorithm Based on Improved Filter and LSTM Fusion
per: Long Dizhi, Chen Xin, Wei Bingyi, Shi Chao
Publicat: (2024-06-01)