Cited by 83Power Systems Fault DetectionPower System Optimization and StabilityElectrical Fault Detection and Protection

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Methodologies in power systems fault detection and diagnosis

Aleem, Saad Abdul, Shahid, Nauman, Naqvi, Ijaz Haider·2015·Energy Systems

DOI 10.1007/s12667-014-0129-1

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Intelligent Diagnosis of Incipient Fault in Power Distribution Lines Based on Corona Detection in UV-Visible Videos
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Fault Detection and Fault Diagnosis in Power System Using AI: A Review
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See all 83

Authors: Aleem, S. A., Shahid, N., & Naqvi, I. H.
Affiliations: University of Pennsylvania (US)
École Polytechnique Fédérale de Lausanne (CH)
Lahore University of Management Sciences (PK)
Corresponding author: Aleem, Saad Abdul
ORCID: Shahid, Nauman
Naqvi, Ijaz Haider
Venue: Energy Systems
Publisher: Springer Science and Business Media LLC
Published: 2014-06-07
Volume: 6
Issue: 1
Pages: 85-108
ISSN: 1868-3967 (ISSN-L)
1868-3975
DOI: 10.1007/s12667-014-0129-1
OpenAlex: W2040160862
Cited by: 83
References: 126
Citations by year: 2026: 4 · 2025: 19 · 2024: 16 · 2023: 12 · 2022: 11 · 2021: 9 · 2020: 4 · 2019: 3 · 2018: 1 · 2017: 3 · 2015: 1
FWCI: 1.49
Type: journal article
Language: en
Open access: closed
Licence: www.springer.com/tdm (tdm)
Locations: Energy Systems (publishedVersion)
Topics: Physical Sciences › Engineering › Control and Systems Engineering › Power Systems Fault Detection
Physical Sciences › Engineering › Electrical and Electronic Engineering › Power System Optimization and Stability
Physical Sciences › Engineering › Electrical and Electronic Engineering › Electrical Fault Detection and Protection
Keywords: power system fault detection, fault diagnosis, fault classification, transmission line faults, pattern recognition, wavelet transform, artificial neural networks, support vector machine, unsupervised learning, process history

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