Timeseries Fault Classification in Power Transmission Lines by Non-Intrusive Feature Extraction and Selection Using Supervised Machine Learning-Reference-Cited by-同舟云学术

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Timeseries Fault Classification in Power Transmission Lines by Non-Intrusive Feature Extraction and Selection Using Supervised Machine Learning

Published:2024 Issue: Volume:12 Page:93426-93449
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Nawaz Rab¹,Albalawi Hani A.²^ORCID,Bukhari Syed Basit Ali³^ORCID,Khalid Mehmood Khawaja⁴,Sajid Muhammad¹^ORCID

Affiliation:

1. Department of Electrical Engineering, Mirpur University of Science and Technology, Mirpur, Azad Jammu and Kashmir, Pakistan

2. Department of Electrical Engineering, Faculty of Engineering, University of Tabuk, Tabuk, Saudi Arabia

3. Department of EE, The University of Azad Jammu and Kashmir, Muzaffarabad, Azad Jammu and Kashmir, Pakistan

4. Department of Electrical Engineering (EE), Eindhoven University of Technology, Eindhoven, The Netherlands

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10587161.pdf?arnumber=10587161

Reference59 articles.

1. Electric Power System Basics for the Nonelectrical Professional

2. Modern Power System Analysis

3. Practical Power System Protection

4. Methodologies in power systems fault detection and diagnosis

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